InfoVis:Wiki - User contributions [en]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-24T00:04:40Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Description of the example ==
=== Explanation of the field and the data ===
==== Field Information ====
The field of our example is medicine, or more precicely, a blood analysis of one (or more) patients.
==== Charactaristics of the Field ====
* Different charateristics can be sampled in different blood tests.
** Increases the difficulty of creating visual represenations.
** Increates the difficulty of visualising changes in data.
* Its not easy to visualize the data in traditional ways (bars, pie charts..), because...
** The columns are all measured in different units
** the colums have different reference intervals
* The lab results are incomplete
** Some of the reference values in the first results are missing
** The column "P" is not explained, only by looking at the data can you assume that this stands for "Problem"
** Column "P" can easily be over looked
** "P" doesn't tell you if you are above or below the reference values
** There are no definitions for the abreviations used in the "untersuchungen" column
** Some rows don't list what unit the measurement is in
* The visualisation does not express if this is one or two persons data.

==== Description of the provided data ====
The data in this example shows the blood sample data of one or two patients. It also offers a reference which shows the patient if the value of a particular tuple is within normal bounds or not.

=== Target group analysis ===
Our visualisation is targeted at the actual patient and will try to help the patient understand his results without the direct help of a doctor as well as simplify the comparison of the patients data with previous results.

==== Charactaristics of the Target Group ====
* The patients generally do not understand what the results the received back actually mean as they are not doctors. They are more interested in what the result actually means rather than what is. (What is Erzthorizen?)
* The patients do not know what influences their result. When reading the data it alone is of no use to them, they are more interested in knowing the reasons for their values than the actual values themselves. (Why is my Erzthorizen so high?)
* The patient cannot perform the analysis himself, he needs a laberatory to at least analyze the blood.

==== Frequently used Visualisation techniques in this area ====
Judging from personal experience the pictures at the top are in fact a frequently used method to try to visualize the data for the patient.

=== Goal of own Visualisation ===
* Patients should be informed about their results in a way that allows them to understand the results without the direct supervision of a doctor.
* The visualisation tool should help patients see what affects their results such as sleep deprevation, bad neutrition, no fitness.
* Additionally the tool should make automatic suggestions on what a person can do to improve their future results (eat more carrots, swim for 20 minutes 3 times a week, etc)
* Tracking the changes of their results should also be simplified

==== Which tasks are to be solved ====
* visually show if a row is above or below the reference area, and by how much
* visually compare different results over time
** How have all the values changed over time
** Which rows are no longer within the reference values, which ones are
* Different sorting of rows, eg grouping by involved organs to show possible damaged organs. Sorting/filtering out the problematic rows.
==== Questions that can be solved using the new visualisation ====
* How is my heath developing over time
* What can I do to improve my cholesterol
* Which of my blood values are the worst
* Why might my eisen value be so low
In all cases however the visualisation is to state that these are automated suggestions and that they should be discussed with a docutor.

== Concept ==
=== Mockup(s) / Fake Screenshot(s) ===
==== General result screen with the mouse being over a particular result ====
[[Image:auf4_2.JPG]]

==== A screen shot demonstrating the historical comperison visualisation ====
[[Image:auf4_3.JPG]]

=== Through which characteristics are users especially aided? ===
* Details on Demand (= Tooltips). By hovering the mouse over an icon or a particular result more details are shown. These details are generally hidden to reduce visual clutter.
* History comparison - By draging along a horiztonal bar one can compare ones previous results with the current result
* Values outside the reference area are highlighted by being within a "red area"
* Automatically generated general tips based on the results and the patient data
* Different sorting - By clicking on icons the patient can quickly change the way the data is sorted (ie alphabetically, worst values, organ grouping, etc)

=== Disadvantages ===
The main drawback of the new system is that it requires the patient to be able to use a computer and have one available. Of course the results can be printed out, but the full feature set is only available on a computer.

=== Possible future enhancements ===
* Automatic diet plan generation which generates an example of "healthy eating" for the selected person based on his data

* A chat program to talk about ones results with the doctor or with other patients.

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-17T01:24:22Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Description of the example ==
=== Explanation of the field and the data ===
==== Field Information ====
The field of our example is medicine, or more precicely, a blood analysis of one (or more) patients.
==== Charactaristics of the Field ====
* Different charateristics can be sampled in different blood tests.
** Increases the difficulty of creating visual represenations.
** Increates the difficulty of visualising changes in data.
* Its not easy to visualize the data in traditional ways (bars, pie charts..), because...
** The columns are all measured in different units
** the colums have different reference intervals
* The lab results are incomplete
** Some of the reference values in the first results are missing
** The column "P" is not explained, only by looking at the data can you assume that this stands for "Problem"
** Column "P" can easily be over looked
** "P" doesn't tell you if you are above or below the reference values
** There are no definitions for the abreviations used in the "untersuchungen" column
** Some rows don't list what unit the measurement is in
* The visualisation does not express if this is one or two persons data.

==== Description of the provided data ====
The data in this example shows the blood sample data of one or two patients. It also offers a reference which shows the patient if the value of a particular tuple is within normal bounds or not.

=== Target group analysis ===
Our visualisation is targeted at the actual patient and will try to help the patient understand his results without the direct help of a doctor as well as simplify the comparison of the patients data with previous results.

==== Charactaristics of the Target Group ====
* The patients generally do not understand what the results the received back actually mean as they are not doctors. They are more interested in what the result actually means rather than what is. (What is Erzthorizen?)
* The patients do not know what influences their result. When reading the data it alone is of no use to them, they are more interested in knowing the reasons for their values than the actual values themselves. (Why is my Erzthorizen so high?)
* The patient cannot perform the analysis himself, he needs a laberatory to at least analyze the blood.

==== Frequently used Visualisation techniques in this area ====
Judging from personal experience the pictures at the top are in fact a frequently used method to try to visualize the data for the patient.

=== Goal of own Visualisation ===
* Patients should be informed about their results in a way that allows them to understand the results without the direct supervision of a doctor.
* The visualisation tool should help patients see what affects their results such as sleep deprevation, bad neutrition, no fitness.
* Additionally the tool should make automatic suggestions on what a person can do to improve their future results (eat more carrots, swim for 20 minutes 3 times a week, etc)
* Tracking the changes of their results should also be simplified

==== Which tasks are to be solved ====
* visually show if a row is above or below the reference area, and by how much
* visually compare different results over time
** How have all the values changed over time
** Which rows are no longer within the reference values, which ones are
* Different sorting of rows, eg grouping by involved organs to show possible damaged organs. Sorting/filtering out the problematic rows.
==== Questions that can be solved using the new visualisation ====
* How is my heath developing over time
* What can I do to improve my cholesterol
* Which of my blood values are the worst
* Why might my eisen value be so low
In all cases however the visualisation is to state that these are automated suggestions and that they should be discussed with a docutor.

== Concept ==
=== Welche Visualisierungsarten wurden eingesetzt ===
=== Visual Mapping ===
* Wie werden die verschiedenen Datendimensionen in visuelle Attribute umgesetzt?
** z.B. Dimension "Filegröße" --> visuelles Attribut "Fläche"
=== Beschreibung der verwendeten Techniken / angewandten Prinzipien ===
* inkl. Quellenangaben (siehe z.B. VO Skriptum/Foliensatz)
=== Interaktionsmöglichkeiten ===
==== Wie erfolgt die Interaktion der BenutzerInnen mit dem System? ====
==== Welche Interaktion dient welchem Zweck?====
* Navigation
* Zooming,
* Highlighting,
* Dynamic Querying,
* Selection,
* Brushing, ...
=== Mockup(s) / Fake Screenshot(s) ===
==== General result screen with the mouse being over a particular result ====
[[Image:auf4_2.JPG]]

==== A screen shot demonstrating the historical comperison visualisation ====
[[Image:auf4_3.JPG]]

=== Wie werden die BenutzerInnen in ihren Aufgaben unterstützt? ===
Siehe Besonderheiten
=== Welche Besonderheiten gibt es? ===
* Details on Demand (= Tooltips). By hovering the mouse over an icon or a particular result more details are shown. These details are generally hidden to reduce visual clutter.
* History comparison - By draging along a horiztonal bar one can compare ones previous results with the current result
* Values outside the reference area are highlighted by being within a "red area"
* Automatically generated general tips based on the results and the patient data
* Different sorting - By clicking on icons the patient can quickly change the way the data is sorted (ie alphabetically, worst values, organ grouping, etc)

=== Disadvantages ===
The main drawback of the new system is that it requires the patient to be able to use a computer and have one available. Of course the results can be printed out, but the full feature set is only available on a computer.

=== Erweiterungs- bzw. Verbesserungsmöglichkeiten ===
* tatsächliche Ernährungstabelle könnte eingefügt werden - diese stellt dann einen möglichen Befund zusammen. kann mit aktuellem verglichen werden
* sportliche Aktivitäten und ähnliche Freizeitbeschäftigungen können hinzugefügt werden
* A chat program to talk about ones results with the doctor or with other patients.

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-17T01:22:12Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Description of the example ==
=== Explanation of the field and the data ===
==== Field Information ====
The field of our example is medicine, or more precicely, a blood analysis of one (or more) patients.
==== Charactaristics of the Field ====
* Different charateristics can be sampled in different blood tests.
** Increases the difficulty of creating visual represenations.
** Increates the difficulty of visualising changes in data.
* Its not easy to visualize the data in traditional ways (bars, pie charts..), because...
** The columns are all measured in different units
** the colums have different reference intervals
* The lab results are incomplete
** Some of the reference values in the first results are missing
** The column "P" is not explained, only by looking at the data can you assume that this stands for "Problem"
** Column "P" can easily be over looked
** "P" doesn't tell you if you are above or below the reference values
** There are no definitions for the abreviations used in the "untersuchungen" column
** Some rows don't list what unit the measurement is in
* The visualisation does not express if this is one or two persons data.

==== Description of the provided data ====
The data in this example shows the blood sample data of one or two patients. It also offers a reference which shows the patient if the value of a particular tuple is within normal bounds or not.

=== Target group analysis ===
Our visualisation is targeted at the actual patient and will try to help the patient understand his results without the direct help of a doctor as well as simplify the comparison of the patients data with previous results.

==== Charactaristics of the Target Group ====
* The patients generally do not understand what the results the received back actually mean as they are not doctors. They are more interested in what the result actually means rather than what is. (What is Erzthorizen?)
* The patients do not know what influences their result. When reading the data it alone is of no use to them, they are more interested in knowing the reasons for their values than the actual values themselves. (Why is my Erzthorizen so high?)
* The patient cannot perform the analysis himself, he needs a laberatory to at least analyze the blood.

==== Frequently used Visualisation techniques in this area ====
Judging from personal experience the pictures at the top are in fact a frequently used method to try to visualize the data for the patient.

=== Goal of own Visualisation ===
* Patients should be informed about their results in a way that allows them to understand the results without the direct supervision of a doctor.
* The visualisation tool should help patients see what affects their results such as sleep deprevation, bad neutrition, no fitness.
* Additionally the tool should make automatic suggestions on what a person can do to improve their future results (eat more carrots, swim for 20 minutes 3 times a week, etc)
* Tracking the changes of their results should also be simplified

==== Which tasks are to be solved ====
* visually show if a row is above or below the reference area, and by how much
* visually compare different results over time
** How have all the values changed over time
** Which rows are no longer within the reference values, which ones are
* Different sorting of rows, eg grouping by involved organs to show possible damaged organs. Sorting/filtering out the problematic rows.
==== Questions that can be solved using the new visualisation ====
* How is my heath developing over time
* What can I do to improve my cholesterol
* Which of my blood values are the worst
* Why might my eisen value be so low
In all cases however the visualisation is to state that these are automated suggestions and that they should be discussed with a docutor.

== Concept ==
=== Welche Visualisierungsarten wurden eingesetzt ===
=== Visual Mapping ===
* Wie werden die verschiedenen Datendimensionen in visuelle Attribute umgesetzt?
** z.B. Dimension "Filegröße" --> visuelles Attribut "Fläche"
=== Beschreibung der verwendeten Techniken / angewandten Prinzipien ===
* inkl. Quellenangaben (siehe z.B. VO Skriptum/Foliensatz)
=== Interaktionsmöglichkeiten ===
==== Wie erfolgt die Interaktion der BenutzerInnen mit dem System? ====
==== Welche Interaktion dient welchem Zweck?====
* Navigation
* Zooming,
* Highlighting,
* Dynamic Querying,
* Selection,
* Brushing, ...
=== Mockup(s) / Fake Screenshot(s) ===
[[Image:auf4_2.JPG]]

[[Image:auf4_3.JPG]]

=== Wie werden die BenutzerInnen in ihren Aufgaben unterstützt? ===
Siehe Besonderheiten
=== Welche Besonderheiten gibt es? ===
* Details on Demand (= Tooltips). By hovering the mouse over an icon or a particular result more details are shown. These details are generally hidden to reduce visual clutter.
* History comparison - By draging along a horiztonal bar one can compare ones previous results with the current result
* Values outside the reference area are highlighted by being within a "red area"
* Automatically generated general tips based on the results and the patient data
* Different sorting - By clicking on icons the patient can quickly change the way the data is sorted (ie alphabetically, worst values, organ grouping, etc)

=== Disadvantages ===
The main drawback of the new system is that it requires the patient to be able to use a computer and have one available. Of course the results can be printed out, but the full feature set is only available on a computer.

=== Erweiterungs- bzw. Verbesserungsmöglichkeiten ===
* tatsächliche Ernährungstabelle könnte eingefügt werden - diese stellt dann einen möglichen Befund zusammen. kann mit aktuellem verglichen werden
* sportliche Aktivitäten und ähnliche Freizeitbeschäftigungen können hinzugefügt werden
* A chat program to talk about ones results with the doctor or with other patients.

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 3

2008-01-16T19:37:23Z

UE-InfoVis0708 9927198:

== Poor Graphic ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

[[Image:Rentner_Erwerbstaetige.jpg]]
Vergleich: Personen im Rentenalter & Erwerbsfähige

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Problems with the Existing Graphic ==
The following problems where found when taking into account visualization prinicples (Data-Ink-Ratio, Visual Clutter, ...).

* The exact number of people are difficult to determine, especially when trying to count the human figures. Each figure is visually representing a number of people which is explained elsewhere in the diagram.
* Unimportant text ("In 40 Jahren stehen 55 Personen im Rentenalter ..." and "... heute sind es erst 24!") - it seems to be a head line - is highlighted while important ones (such as the one on the left) are not.
* The head line does not actually explain what the diagram is about. This important information can only be determined by looking at the actual picutres and reading the text between the picture. The diagram is therefore very difficult to read at a glance.
* Only part of the head line has a background color.
* The 'head line' is long and therefore difficult to read.

* at first glance the picture looks like two mathematical divisions.
* The human figures don't look like what they represent, they arn't symbolic for their respective representations, but they could. It would be possible to show a figure which look like an old man or woman to represent the pensionists and young figures which could look like business people to represent the working people. Other symbolic representations could be used but even these would not help a reader to understand the actual data.
* Compareable data within the years should be next to one another, in this case the blue figures are above the red figures.
* The figures are centered and so it is more difficult to compare the data.
* It would be easier to compare the data if there would be data like numbers next to the figures instead of the legend. This way the reader wouldnt have to link the numbers in the legend to the actual picture but would see at first glance which number belongs to what.
* It is not possible to find out of witch country or area the data referent.
* The blue and red figures dont have the same size.
* The two graphics 1995 and 2035 represent similar data but have different sizes.
* Different background colors are used for the graphics
* The graphics are not within cronological order, 1995 comes before 2035.
* The Legend is difficult to read, it could for example be framed.
* One could think the legend belongs to the small graphic at the bottom instead of the whole diagram

-> Due to this the diagram is very difficult to understand

== Improved Graphic ==

[[Image:Gruppe8aufgabe3.jpg]]

== Description of Changes as well as Reasoning ==
The following changes were made to improve the problems initially found the first diagram.
* Unneccessary data such as the 25 and 100 was removed. The exact numbers do not help the reader understand the data as this is percentage data anyway.

* Percentage numbers were added, these have more meaning than the numbers used in the initial diagram.

''Kernaussage ist aber, wie viele Rentner von wie vielen Arbeitnehmern zu erhalten sind (Anzahl => absolute Zahlen).'' 
''Eure Aussage hier ist: 65% Erwerbstätige (65 % wovon? Erwerbsfähige Bevölkerung? Wohnbevölkerung? ...) müssen 35% Rentner (35% wovon? Wohnbevölkerung? ...) erhalten.''

* The charts have the same size, this allows you to compare the charts easily.

''Pie Charts sind zu vermeiden, da schwieriger zu interpretieren als z.B. Balkendiagramme (vgl. S. Few).''

* The background coloring was removed as this had no purpose and increased visual clutter.
* Colors were chosen that have a different brightness to allow color blind viewing and black and white printing.

* Coherent data is now grouped by the pie charts.

* sequence the data - the data is now sequenced chronologically from left to right to meet the expectations of the people.

* rank the data - The data was ranked, the smaller key group "rentner" are at the top, while the "erwerbsfaehige" are at the bottom.

''Ihr schreibt in der Legende Erwerbsfähige und im Titel Erwerbstätige. Letztere sind nur eine Teilmenge von den Erwerbsfähigen!''

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-15T00:35:02Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Description of the example ==
=== Explanation of the field and the data ===
==== Field Information ====
The field of our example is medicine, or more precicely, a blood analysis of one (or more) patients.
==== Charactaristics of the Field ====
* Different charateristics can be sampled in different blood tests.
** Increases the difficulty of creating visual represenations.
** Increates the difficulty of visualising changes in data.
* Its not easy to visualize the data in traditional ways (bars, pie charts..), because...
** The columns are all measured in different units
** the colums have different reference intervals
* Befund nicht vollständig
** Leere Werte im Referenzbereich (im 2. Befund teilweise vorhanden)
** Beschreibung für "P" erst durch den Zusammenhang ersichtlich
** Tabelle "P" wird leicht übersehen
** "P" beschreibt nicht, ob Wert über oder unter dem Referenzbereich liegt
** Definitionen der Abkürzungen in der Spalte "Untersuchungen" werden nicht angeführt
** Teilweise nicht angeführt, in welcher Einheit gemessen wurde
* Es kommt nicht heraus, ob die 2 Befunde für die gleiche Person erhoben wurden

==== Description of the provided data ====
The data in this example shows the blood sample data of one or two patients. It also offers a reference which shows the patient if the value of a particular tuple is within normal bounds or not.

=== Target group analysis ===
Our visualisation is targeted at the actual patient and will try to help the patient understand his results without the direct help of a doctor as well as simplify the comparison of the patients data with previous results.

==== Charactaristics of the Target Group ====
* The patients generally do not understand what the results the received back actually mean as they are not doctors. They are more interested in what the result actually means rather than what is. (What is Erzthorizen?)
* The patients do not know what influences their result. When reading the data it alone is of no use to them, they are more interested in knowing the reasons for their values than the actual values themselves. (Why is my Erzthorizen so high?)
* The patient cannot perform the analysis himself, he needs a laberatory to at least analyze the blood.

==== Gibt es bekannte / oft verwendete Methoden / Visualisierungstechniken ====
Ja, die in der Angabe gezeigten Beispiele werden häufig so an PatientInnen übergeben

=== Zweck der Visualisierung ===
==== Was soll mit der Visualisierung erreicht werden ====
* PatientInnen werden über ihre Blutwerte informiert
* PatientInnen können Ihr Wohlbefinden steigern indem sie versuchen ihre Werte in den vermeintlich besseren Referenzbereich bringen
* PatientInnen sollen zu den Werten erfahren, welche Nahrungsmittel sie essen müssen damit sich die Werte ändern
* Änderungen der Werte über mehrere Messungen sollen rasch vergleichbar werden

==== Welche Aufgaben sollen gelöst werden ====
* grafische Darstellung, ob sich die Werte im Referenzbereich befinden, darunter oder darüber
* grafischer Vergleich der Werte verschiedener Messungen
** Wie hat sich das Blutgesamtbild verändert
** Welche Werte liegen nun (nicht mehr) im Ref-Bereich
==== Fragen, die mit Hilfe der Visualisierung gelöst werden können ====
* Pfff ...
* Wie ändern sich meine Werte wenn ich einen Tag lang nix esse.
* Steigt mein Cholesterinspiegel wenn ich jeden Tag 4 ml Sperma schlucke.
* Ev. Auflistung von Nahrungsmitteln und in welche Richtung sie vermutlich welche Werte verändern würden
* Und irgendwio steht: Fragen sie trotzdem ihren Artz oder Apotheker

== Konzept ==
=== Welche Visualisierungsarten wurden eingesetzt ===
=== Visual Mapping ===
* Wie werden die verschiedenen Datendimensionen in visuelle Attribute umgesetzt?
** z.B. Dimension "Filegröße" --> visuelles Attribut "Fläche"
=== Beschreibung der verwendeten Techniken / angewandten Prinzipien ===
* inkl. Quellenangaben (siehe z.B. VO Skriptum/Foliensatz)
=== Interaktionsmöglichkeiten ===
==== Wie erfolgt die Interaktion der BenutzerInnen mit dem System? ====
==== Welche Interaktion dient welchem Zweck?====
* Navigation
* Zooming,
* Highlighting,
* Dynamic Querying,
* Selection,
* Brushing, ...
=== Mockup(s) / Fake Screenshot(s) ===
[[Image:auf4_2.JPG]]

[[Image:auf4_3.JPG]]

=== Wie werden die BenutzerInnen in ihren Aufgaben unterstützt? ===
Siehe Besonderheiten
=== Welche Besonderheiten gibt es? ===
* Details on Demand (= Tooltips)
* Verlauf - Änderung der Blutwerte seit dem letzten/vorletzten ... Befund
* Werte außerhalb des Wertebereichs werden eindeutig hervorgehoben durch roten Hintergrund
* Tipps für Ernährung um Werte zu bessern
=== Was sind die Vor- und Nachteile der Technik? ===
Nachteile:
* früher Papier - heute PC - benötigt Rechner
Vorteile:
* Siehe Besonderheiten
=== Erweiterungs- bzw. Verbesserungsmöglichkeiten ===
* tatsächliche Ernährungstabelle könnte eingefügt werden - diese stellt dann einen möglichen Befund zusammen. kann mit aktuellem verglichen werden
* sportliche Aktivitäten und ähnliche Freizeitbeschäftigungen können hinzugefügt werden
* Chatprogramm um mit anderen "Kranken" zu quatschen

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-15T00:16:53Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Beschreibung der Angabe ==
=== Beschreibung des Anwendungsgebiets und vorgegebenen Datensatzes ===
==== Um welches Anwendungsgebiet handelt es sich ====
Medizin (das geht doch genau auf die Frage ein)
==== Besonderheiten der Anwendungsgebietanalyse ====
* Bei jeder Untersuchung können jedesmal unterschiedliche Werte untersucht werden.
** Problem bei der (grafischen) Darstellung der Daten.
** Problem bei der Darstellung der Änderung der Werte.
** Einzelne Blutuntersuchungen sind schwer miteinander vergleichbar.
* Schwierigkeit, alle Daten in einer herkömmlichen Art darzustellen (Balken, Kreise ..), da ...
** Viele Daten werden in unterschiedlichen Einheiten gemessen
** Alle Daten haben einen unterschiedlichen Referenzbereich
* Befund nicht vollständig
** Leere Werte im Referenzbereich (im 2. Befund teilweise vorhanden)
** Beschreibung für "P" erst durch den Zusammenhang ersichtlich
** Tabelle "P" wird leicht übersehen
** "P" beschreibt nicht, ob Wert über oder unter dem Referenzbereich liegt
** Definitionen der Abkürzungen in der Spalte "Untersuchungen" werden nicht angeführt
** Teilweise nicht angeführt, in welcher Einheit gemessen wurde
* Es kommt nicht heraus, ob die 2 Befunde für die gleiche Person erhoben wurden

==== Beschreibung der Daten im Datensatz ====
Tabelle 2 einfügen

=== Zielgruppenanalye ===
==== Für wen ist die Visualisierungstechnik gedacht ====
PatientInnen
==== Was sind die Besonderheiten der Zielgruppe ====
* Kennen Begriffe/Abkürzungen zu einem großen Teil nicht (Spalte Untersuchungen)
* Wissen nicht, womit Ergebnis-Werte beeinflusst werden. Können daher mit Befund alleine nichts anfangen, sondern brauchen wen der ihnen sagt, wie sie in den Referenzbereich kommen bzw. sich dort halten.
* Können Änderungen im Blutbild nicht selbstständig nachprüfen (das mag ich sehn wie sie sich privat ne Nadel reinjagen und dann aus dem Blut wie im Kaffeesut lesen)
==== Gibt es bekannte / oft verwendete Methoden / Visualisierungstechniken ====
Ja, die in der Angabe gezeigten Beispiele werden häufig so an PatientInnen übergeben

=== Zweck der Visualisierung ===
==== Was soll mit der Visualisierung erreicht werden ====
* PatientInnen werden über ihre Blutwerte informiert
* PatientInnen können Ihr Wohlbefinden steigern indem sie versuchen ihre Werte in den vermeintlich besseren Referenzbereich bringen
* PatientInnen sollen zu den Werten erfahren, welche Nahrungsmittel sie essen müssen damit sich die Werte ändern
* Änderungen der Werte über mehrere Messungen sollen rasch vergleichbar werden

==== Welche Aufgaben sollen gelöst werden ====
* grafische Darstellung, ob sich die Werte im Referenzbereich befinden, darunter oder darüber
* grafischer Vergleich der Werte verschiedener Messungen
** Wie hat sich das Blutgesamtbild verändert
** Welche Werte liegen nun (nicht mehr) im Ref-Bereich
==== Fragen, die mit Hilfe der Visualisierung gelöst werden können ====
* Pfff ...
* Wie ändern sich meine Werte wenn ich einen Tag lang nix esse.
* Steigt mein Cholesterinspiegel wenn ich jeden Tag 4 ml Sperma schlucke.
* Ev. Auflistung von Nahrungsmitteln und in welche Richtung sie vermutlich welche Werte verändern würden
* Und irgendwio steht: Fragen sie trotzdem ihren Artz oder Apotheker

== Konzept ==
=== Welche Visualisierungsarten wurden eingesetzt ===
=== Visual Mapping ===
* Wie werden die verschiedenen Datendimensionen in visuelle Attribute umgesetzt?
** z.B. Dimension "Filegröße" --> visuelles Attribut "Fläche"
=== Beschreibung der verwendeten Techniken / angewandten Prinzipien ===
* inkl. Quellenangaben (siehe z.B. VO Skriptum/Foliensatz)
=== Interaktionsmöglichkeiten ===
==== Wie erfolgt die Interaktion der BenutzerInnen mit dem System? ====
==== Welche Interaktion dient welchem Zweck?====
* Navigation
* Zooming,
* Highlighting,
* Dynamic Querying,
* Selection,
* Brushing, ...
=== Mockup(s) / Fake Screenshot(s) ===
[[Image:auf4_2.JPG]]

[[Image:auf4_3.JPG]]

=== Wie werden die BenutzerInnen in ihren Aufgaben unterstützt? ===
Siehe Besonderheiten
=== Welche Besonderheiten gibt es? ===
* Details on Demand (= Tooltips)
* Verlauf - Änderung der Blutwerte seit dem letzten/vorletzten ... Befund
* Werte außerhalb des Wertebereichs werden eindeutig hervorgehoben durch roten Hintergrund
* Tipps für Ernährung um Werte zu bessern
=== Was sind die Vor- und Nachteile der Technik? ===
Nachteile:
* früher Papier - heute PC - benötigt Rechner
Vorteile:
* Siehe Besonderheiten
=== Erweiterungs- bzw. Verbesserungsmöglichkeiten ===
* tatsächliche Ernährungstabelle könnte eingefügt werden - diese stellt dann einen möglichen Befund zusammen. kann mit aktuellem verglichen werden
* sportliche Aktivitäten und ähnliche Freizeitbeschäftigungen können hinzugefügt werden
* Chatprogramm um mit anderen "Kranken" zu quatschen

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 4

2008-01-15T00:16:20Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==

Aufgabe ist das Design einer interaktiven Visualisierungsapplikation zur Darstellung und Exploration (des zeitlichen Verlaufs) von Laborwerten einer Blutuntersuchung. BenutzerInnen, Einsatzzweck, Tasks, etc. sollen von Euch selbst festgelegt und beschrieben werden.

[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Beispiele für derartige Datensätze ===

[[Image:20061115_blutuntersuchung.jpg]]

[[Image:20070920_blutuntersuchung.jpg]]

== Beschreibung der Angabe ==
=== Beschreibung des Anwendungsgebiets und vorgegebenen Datensatzes ===
==== Um welches Anwendungsgebiet handelt es sich ====
Medizin (das geht doch genau auf die Frage ein)
==== Besonderheiten der Anwendungsgebietanalyse ====
* Bei jeder Untersuchung können jedesmal unterschiedliche Werte untersucht werden.
** Problem bei der (grafischen) Darstellung der Daten.
** Problem bei der Darstellung der Änderung der Werte.
** Einzelne Blutuntersuchungen sind schwer miteinander vergleichbar.
* Schwierigkeit, alle Daten in einer herkömmlichen Art darzustellen (Balken, Kreise ..), da ...
** Viele Daten werden in unterschiedlichen Einheiten gemessen
** Alle Daten haben einen unterschiedlichen Referenzbereich
* Befund nicht vollständig
** Leere Werte im Referenzbereich (im 2. Befund teilweise vorhanden)
** Beschreibung für "P" erst durch den Zusammenhang ersichtlich
** Tabelle "P" wird leicht übersehen
** "P" beschreibt nicht, ob Wert über oder unter dem Referenzbereich liegt
** Definitionen der Abkürzungen in der Spalte "Untersuchungen" werden nicht angeführt
** Teilweise nicht angeführt, in welcher Einheit gemessen wurde
* Es kommt nicht heraus, ob die 2 Befunde für die gleiche Person erhoben wurden

==== Beschreibung der Daten im Datensatz ====
Tabelle 2 einfügen

=== Zielgruppenanalye ===
==== Für wen ist die Visualisierungstechnik gedacht ====
PatientInnen
==== Was sind die Besonderheiten der Zielgruppe ====
* Kennen Begriffe/Abkürzungen zu einem großen Teil nicht (Spalte Untersuchungen)
* Wissen nicht, womit Ergebnis-Werte beeinflusst werden. Können daher mit Befund alleine nichts anfangen, sondern brauchen wen der ihnen sagt, wie sie in den Referenzbereich kommen bzw. sich dort halten.
* Können Änderungen im Blutbild nicht selbstständig nachprüfen (das mag ich sehn wie sie sich privat ne Nadel reinjagen und dann aus dem Blut wie im Kaffeesut lesen)
==== Gibt es bekannte / oft verwendete Methoden / Visualisierungstechniken ====
Ja, die in der Angabe gezeigten Beispiele werden häufig so an PatientInnen übergeben

=== Zweck der Visualisierung ===
==== Was soll mit der Visualisierung erreicht werden ====
* PatientInnen werden über ihre Blutwerte informiert
* PatientInnen können Ihr Wohlbefinden steigern indem sie versuchen ihre Werte in den vermeintlich besseren Referenzbereich bringen
* PatientInnen sollen zu den Werten erfahren, welche Nahrungsmittel sie essen müssen damit sich die Werte ändern
* Änderungen der Werte über mehrere Messungen sollen rasch vergleichbar werden

==== Welche Aufgaben sollen gelöst werden ====
* grafische Darstellung, ob sich die Werte im Referenzbereich befinden, darunter oder darüber
* grafischer Vergleich der Werte verschiedener Messungen
** Wie hat sich das Blutgesamtbild verändert
** Welche Werte liegen nun (nicht mehr) im Ref-Bereich
==== Fragen, die mit Hilfe der Visualisierung gelöst werden können ====
* Pfff ...
* Wie ändern sich meine Werte wenn ich einen Tag lang nix esse.
* Steigt mein Cholesterinspiegel wenn ich jeden Tag 4 ml Sperma schlucke.
* Ev. Auflistung von Nahrungsmitteln und in welche Richtung sie vermutlich welche Werte verändern würden
* Und irgendwio steht: Fragen sie trotzdem ihren Artz oder Apotheker

== Konzept ==
=== Welche Visualisierungsarten wurden eingesetzt ===
=== Visual Mapping ===
* Wie werden die verschiedenen Datendimensionen in visuelle Attribute umgesetzt?
** z.B. Dimension "Filegröße" --> visuelles Attribut "Fläche"
=== Beschreibung der verwendeten Techniken / angewandten Prinzipien ===
* inkl. Quellenangaben (siehe z.B. VO Skriptum/Foliensatz)
=== Interaktionsmöglichkeiten ===
==== Wie erfolgt die Interaktion der BenutzerInnen mit dem System? ====
==== Welche Interaktion dient welchem Zweck?====
* Navigation
* Zooming,
* Highlighting,
* Dynamic Querying,
* Selection,
* Brushing, ...
=== Mockup(s) / Fake Screenshot(s) ===
[[Image:auf4_2.JPG]]

[[Image:auf4_2.JPG]]

=== Wie werden die BenutzerInnen in ihren Aufgaben unterstützt? ===
Siehe Besonderheiten
=== Welche Besonderheiten gibt es? ===
* Details on Demand (= Tooltips)
* Verlauf - Änderung der Blutwerte seit dem letzten/vorletzten ... Befund
* Werte außerhalb des Wertebereichs werden eindeutig hervorgehoben durch roten Hintergrund
* Tipps für Ernährung um Werte zu bessern
=== Was sind die Vor- und Nachteile der Technik? ===
Nachteile:
* früher Papier - heute PC - benötigt Rechner
Vorteile:
* Siehe Besonderheiten
=== Erweiterungs- bzw. Verbesserungsmöglichkeiten ===
* tatsächliche Ernährungstabelle könnte eingefügt werden - diese stellt dann einen möglichen Befund zusammen. kann mit aktuellem verglichen werden
* sportliche Aktivitäten und ähnliche Freizeitbeschäftigungen können hinzugefügt werden
* Chatprogramm um mit anderen "Kranken" zu quatschen

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

File:Auf4 3.JPG

2008-01-15T00:13:39Z

UE-InfoVis0708 9927198: Mock of our application, showing the "changes in time" feature

== Summary ==
Mock of our application, showing the "changes in time" feature
== Copyright status ==
none
== Source ==
self made

File:Auf4 2.JPG

2008-01-15T00:12:44Z

UE-InfoVis0708 9927198: Mock up of our application

== Summary ==
Mock up of our application
== Copyright status ==
none
== Source ==
self made

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 3

2007-12-10T22:49:11Z

UE-InfoVis0708 9927198:

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 3

2007-12-10T22:47:39Z

UE-InfoVis0708 9927198:

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 3

2007-12-10T22:39:54Z

UE-InfoVis0708 9927198:

File:Gruppe8aufgabe3.jpg

2007-12-10T22:24:35Z

UE-InfoVis0708 9927198: New page: == Summary == == Copyright status == == Source ==

== Summary ==

== Copyright status ==

== Source ==

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 3

2007-12-10T22:24:19Z

UE-InfoVis0708 9927198:

== Poor Graphic ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

[[Image:Rentner_Erwerbstaetige.jpg]]
Vergleich: Personen im Rentenalter & Erwerbstätige

== Links ==
* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]
* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]
* [[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

'''user: ueinfovis - pw: f3wd0c'''

== Kritik der vorliegenden Grafik ==
Begründung unter Berücksichtigung der behandelten Designprinzipien (Data-Ink-Ratio, Visual Clutter, ...)

* genaue Zahlen sind nicht auslesbar (unten 24, koennten auch 26 sein ..) und die roten maxerl sind gar nicht nachzaehlbar
* wesentliches (die echte Ueberschrift) ist nicht hervorgehoben - unwesentliches (die pseudo-Ueberschrift) sticht zu weit hervor
* Ueberschrift ist uneinheitlich hinterlegt
* Ueberschrift ist nicht schnell erkennbar, nicht schnell lesbar
* Ah - da steht links von der Grafik ja auch noch was - ist das die Ueberschrift? - Ich kenn mich nicht aus
* auf den ersten Blick wirken die Grafiken wie zwei Bruchrechnungen ohne Loesung
* die grafische Darstellung der betroffenen Personengruppen ist nicht intuitiv erkennbar (Rentner koennten wie Opas aussehen, die Eerwerbstaetigen wie arbeitende Menschen
* Farbdarstellung der Maxerl unklar
* Maexchen muessen abgezaehlt werden um sie miteinander vergleichen zu koennen
* zu vergleichende Daten (blau, rot) sollten nebeneinander liegen - sind untereinander mit anderen Daten dazwischen nicht schnell vergleichbar
* Strichmaxerl sind ungleich gross
* Die zu vergleichenden Grafiken (1995, 2035) sind ungleich gross
* Die Grafiken sind uneinheitlich hellblau hinterlegt - und der hellblaue Balken ist nicht mal beschriftet
* zeitliche Abfolge vertikal unlogisch angeordnet - Jahre aufsteigend anordnen, vertikal, oder besser horizontal.
* Legende ist unleserlich aufbereitet
* Legende ist nicht gut gekennzeichnet - koennte zB umrandet sein
* Man koennte meinen, die Legende ist ein Text der zum unteren Bild gehoert
* Aufgrund des Hintergrundes des oberen Bildes sticht dieses grundlos(?) hervor

-> Fazit: Die Grafik motiviert nicht zum Lesen

== Ueberarbeitung der Grafik ==
Redesign der Grafik
Upload und Einbindung der verbesserten Grafik ins InfoVis:Wiki

[[Image:Gruppe8aufgabe3.jpg]]

== Erklaerung der vorgenommenen Verbesserungen ==
Was wurde verändert?
* unwichtige Daten wurden entfernt
* wichtige Zahlen wurden hinzugefuegt
* wichtige Daten wurden hervorgehoben
* Die Groesse der Grafiken ist nun gleich gross
* Der Hintergrund (der blaue grauslige Hintergrund wurde entfernt)
: stattdessen wurden die beiden wichtigen Daten unterschiedlich gemustert, sodass sie auf Ausdrucken bzw. fuer Farbenblinde gut erkennbar sind.
* Die Daten die zusammengehoeren sind in den Kreisdingern besser gruppiert
* sequence the data - sie wurden von links nach rechts lesbar wie wir es hier in oesterreich gewohnt sind angeordnet
* rank the data - die Daten wurden nach wichtigkeit geordnet

Warum ist es jetzt besser?
* Das ganze was oben steht. Mich freuts grad nicht das schoen hinzuschreiben.

File:Teachinggruppe8tbl3.JPG

2007-12-08T17:04:50Z

UE-InfoVis0708 9927198: A third improvement of the initial table.

== Summary ==
A third improvement of the initial table.
== Copyright status ==

== Source ==

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-12-08T17:02:46Z

UE-InfoVis0708 9927198: Adding third table according to feedback

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Percentage values''' - These should always use the same amount of decimal spaces. The +/- 0 also makes reading the data more difficult.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

=Second Solution=

An alternative solution is the table below. This table similar to the initial table but uses white space to seperate data, color to highlight postive and negative percentage changes and "bars" to allow one to easily compare the m3. Using this visualization it is for example easy to see Linz has the largest m3. This table has been included to show how the exact same data can be visualised in different forms to highlight different aspects of the data, even though the underlying data is exactly the same.

[[Image:Teachinggruppe8tbl2.JPG]]

=Third Solution=

Finally this last solution is optimized for horizontal reading. It removes the lines and bars of the second solution and reduces color usage. While it is more difficult to now compare the vertical data, for example determining the city with the highest m3 compared to the other areas, it is now easy to compare the regions own values and to see at one glance where the values have changed positively and negatively.

[[Image:Teachinggruppe8tbl3.JPG]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-12-08T16:53:14Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Percentage values''' - These should always use the same amount of decimal spaces. The +/- 0 also makes reading the data more difficult.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

=Second Solution=

An alternative solution is the table below. This table similar to the initial table but uses white space to seperate data, color to highlight postive and negative percentage changes and "bars" to allow one to easily compare the m3. This table has been included to show how the exact same data can be visualised in different forms to highlight different aspects of the data, even though the underlying data is exactly the same.

[[Image:Teachinggruppe8tbl2.JPG]]

Teaching talk:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1

2007-12-02T23:06:14Z

UE-InfoVis0708 9927198:

== Bewertung ==

'''Punkte: 6 von 10'''

'''Begründung:'''

''Theme River:''

*Punkt 1 „Quotation“: der Begriff „Definitions“ wäre hier zutreffender

*Das Zitat von Imrich gehört nicht an den Beginn zu den Definitionen, da es ein spezielles Problem erörtert, das offenbar die Vorteile des 3D-Theme River beschreibt (daher dorthin verschieben)

*Eine Kurzdefinition (ein, zwei Sätze) fehlt am Beginn, um mit wenigen Worten das Wesentliche erfassen zu können.

*Wenig eigner (in Sätzen ausformulierter) Text

*ThemeRiver.jpg: Quellenangabe (source) fehlt auf Image-Seite
*ThemeRiver3D.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

''Spatial Analysis:''

*Artikel sehr kurz, nur Zitate und kein selbständig formulierter Text!
**Kommentar: Dies ist so nicht richtig, alles was nicht in anfuehrungstrichen ist selbst formulierter text, ich verweise nur darauf woher ich meine ideen genommen habe, wie mir das in seminaren beigebracht wurde.--[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 13:06, 26 November 2007 (CET)
*Der Punkt 2 „Deskription“ ist eigentlich überflüssig und die darin zitierte Definition sollte zu Punkt 1 verschoben (und entsprechend formatiert) werden
*Das Zitat unter Punkt 3 (Pratt) sollte entsprechend formatiert werden
** Kommentar: Dies ist kein zitat sondern selbst formulierter text. Die ideen dazu wurden aber von Pratt entnommen und demensprechend gekennzeichnet. --[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 23:29, 2 December 2007 (CET)
*Unzureichende (nichtwissenschaftliche) Quellen (MCAG GIS, pcmag.com)

*Abbildung Gruppe08spatial.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

'''''Ihr habt die Möglichkeit, die angegebenen Dinge noch bis einschließlich 02.12.2007 zu verbessern - dann wird natürlich eure Punkteanzahl aufgewertet!'''''

-- [[User:ASchratt|Alexander Schratt]] 17:44, 23 November 2007 (CEST)

Teaching talk:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1

2007-12-02T23:05:33Z

UE-InfoVis0708 9927198:

== Bewertung ==

'''Punkte: 6 von 10'''

'''Begründung:'''

''Theme River:''

*Punkt 1 „Quotation“: der Begriff „Definitions“ wäre hier zutreffender

*Das Zitat von Imrich gehört nicht an den Beginn zu den Definitionen, da es ein spezielles Problem erörtert, das offenbar die Vorteile des 3D-Theme River beschreibt (daher dorthin verschieben)

*Eine Kurzdefinition (ein, zwei Sätze) fehlt am Beginn, um mit wenigen Worten das Wesentliche erfassen zu können.

*Wenig eigner (in Sätzen ausformulierter) Text

*ThemeRiver.jpg: Quellenangabe (source) fehlt auf Image-Seite
*ThemeRiver3D.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

''Spatial Analysis:''

*Artikel sehr kurz, nur Zitate und kein selbständig formulierter Text!
**Kommentar: Dies ist so nicht richtig, alles was nicht in anfuehrungstrichen ist selbst formulierter text, ich verweise nur darauf woher ich meine ideen genommen habe, wie mir das in seminaren beigebracht wurde.--[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 13:06, 26 November 2007 (CET)
*Der Punkt 2 „Deskription“ ist eigentlich überflüssig und die darin zitierte Definition sollte zu Punkt 1 verschoben (und entsprechend formatiert) werden
*Das Zitat unter Punkt 3 (Pratt) sollte entsprechend formatiert werden
** Komentar: Dies ist kein zitat sondern selbst formulierter text. Die ideen dazu wurden aber von Pratt entnommen und demensprechend gekennzeichnet. --[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 23:29, 2 December 2007 (CET)
*Unzureichende (nichtwissenschaftliche) Quellen (MCAG GIS, pcmag.com)

*Abbildung Gruppe08spatial.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

'''''Ihr habt die Möglichkeit, die angegebenen Dinge noch bis einschließlich 02.12.2007 zu verbessern - dann wird natürlich eure Punkteanzahl aufgewertet!'''''

-- [[User:ASchratt|Alexander Schratt]] 17:44, 23 November 2007 (CEST)

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-12-02T23:01:27Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitability of a particular location for a purpose. [Wood, 1984]

While spatial analysis is essentially not new, as it was already used by civilisations such as the 2nd century Eygptians in early forms of world mapping, recent advances in the field of computing have empowered society to perform far more complex analysis then previously possible. This in turn has lead to an increased intrest in spatial analysis tools in the recent years. [Fotheringham et al., 2000]

= Examples =
A typical approach to get new information from existent data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualizing this data one can better understand it (see figure 2) but one can gain even more useful knowledge with further spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

Further examples of spatial data analysis can be found in every day life

= References =
* [Fotheringham et al., 2000] A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton. Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications, London, 2000. Pages 15-16
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching talk:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1

2007-12-02T22:29:54Z

UE-InfoVis0708 9927198:

== Bewertung ==

'''Punkte: 6 von 10'''

'''Begründung:'''

''Theme River:''

*Punkt 1 „Quotation“: der Begriff „Definitions“ wäre hier zutreffender

*Das Zitat von Imrich gehört nicht an den Beginn zu den Definitionen, da es ein spezielles Problem erörtert, das offenbar die Vorteile des 3D-Theme River beschreibt (daher dorthin verschieben)

*Eine Kurzdefinition (ein, zwei Sätze) fehlt am Beginn, um mit wenigen Worten das Wesentliche erfassen zu können.

*Wenig eigner (in Sätzen ausformulierter) Text

*ThemeRiver.jpg: Quellenangabe (source) fehlt auf Image-Seite
*ThemeRiver3D.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

''Spatial Analysis:''

*Artikel sehr kurz, nur Zitate und kein selbständig formulierter Text!
**Kommentar: Dies ist so nicht richtig, alles was nicht in anfuehrungstrichen ist selbst formulierter text, ich verweise nur darauf woher ich meine ideen genommen habe, wie mir das in seminaren beigebracht wurde. Den rest werden wir aber gern ausbessern.--[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 13:06, 26 November 2007 (CET)
*Der Punkt 2 „Deskription“ ist eigentlich überflüssig und die darin zitierte Definition sollte zu Punkt 1 verschoben (und entsprechend formatiert) werden
*Das Zitat unter Punkt 3 (Pratt) sollte entsprechend formatiert werden
** Komentar: Dies ist kein zitat sondern selbst formulierter text. Die ideen dazu wurden aber von Pratt entnommen und demensprechend gekennzeichnet. --[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 23:29, 2 December 2007 (CET)
*Unzureichende (nichtwissenschaftliche) Quellen (MCAG GIS, pcmag.com)

*Abbildung Gruppe08spatial.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

'''''Ihr habt die Möglichkeit, die angegebenen Dinge noch bis einschließlich 02.12.2007 zu verbessern - dann wird natürlich eure Punkteanzahl aufgewertet!'''''

-- [[User:ASchratt|Alexander Schratt]] 17:44, 23 November 2007 (CEST)

File:Gruppe08spatial.jpg

2007-12-02T19:45:35Z

UE-InfoVis0708 9927198:

== Summary ==
Accessibility to retail in Detroit, 1990
== Copyright status ==
Unknown
== Source ==
University of Michigan, Geographic Information Systems. Created at: 2006. Retrieved at: November 8, 2007. http://www.tcaup.umich.edu/archdoc/gis.html

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-12-02T19:08:07Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitability of a particular location for a purpose. [Wood, 1984]

= Examples =
A typical approach to get new information from existent data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualizing this data one can better understand it (see figure 2) but one can gain even more useful knowledge with further spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

= References =
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-12-02T18:57:29Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitability of a particular location for a purpose. [Wood, 1984]

= Examples =
A typical approach to get new information from existent data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualizing this data one can better understand it (see figure 2) but one can gain even more useful knowledge with further spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

= References =
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching talk:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1

2007-11-26T12:06:15Z

UE-InfoVis0708 9927198:

== Bewertung ==

'''Punkte: 6 von 10'''

'''Begründung:'''

''Theme River:''

*Punkt 1 „Quotation“: der Begriff „Definitions“ wäre hier zutreffender

*Das Zitat von Imrich gehört nicht an den Beginn zu den Definitionen, da es ein spezielles Problem erörtert, das offenbar die Vorteile des 3D-Theme River beschreibt (daher dorthin verschieben)

*Eine Kurzdefinition (ein, zwei Sätze) fehlt am Beginn, um mit wenigen Worten das Wesentliche erfassen zu können.

*Wenig eigner (in Sätzen ausformulierter) Text

*ThemeRiver.jpg: Quellenangabe (source) fehlt auf Image-Seite
*ThemeRiver3D.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

''Spatial Analysis:''

*Artikel sehr kurz, nur Zitate und kein selbständig formulierter Text!
**Kommentar: Dies ist so nicht richtig, alles was nicht in anfuehrungstrichen ist selbst formulierter text, ich verweise nur darauf woher ich meine ideen genommen habe, wie mir das in seminaren beigebracht wurde. Den rest werden wir aber gern ausbessern.--[[User:UE-InfoVis0708 9927198|UE-InfoVis0708 9927198]] 13:06, 26 November 2007 (CET)
*Der Punkt 2 „Deskription“ ist eigentlich überflüssig und die darin zitierte Definition sollte zu Punkt 1 verschoben (und entsprechend formatiert) werden
*Das Zitat unter Punkt 3 (Pratt) sollte entsprechend formatiert werden
*Unzureichende (nichtwissenschaftliche) Quellen (MCAG GIS, pcmag.com)

*Abbildung Gruppe08spatial.jpg: auf der Image-Seite bei Angabe der Source das Zitat vervollständigen (nicht nur Hyperlink angeben)

'''''Ihr habt die Möglichkeit, die angegebenen Dinge noch bis einschließlich 02.12.2007 zu verbessern - dann wird natürlich eure Punkteanzahl aufgewertet!'''''

-- [[User:ASchratt|Alexander Schratt]] 17:44, 23 November 2007 (CEST)

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:49:47Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

=Second Solution=

An alternative solution is the table below. This table similar to the initial table but uses white space to seperate data, color to highlight postive and negative percentage changes and "bars" to allow one to easily compare the m3. This table has been included to show how the exact same data can be visualised in different forms to highlight different aspects of the data, even though the underlying data is exactly the same.

[[Image:Teachinggruppe8tbl2.JPG]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:48:43Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

=Second Solution=

An alternative solution is the table below. This table similar to the initial table but uses white space to seperate data, color to highlight postive and negative percentage changes and "bars" to allow one to easily compare the m3. This table has been included to show how the exact same data can be visualised in different forms to highlight different aspects of the data, even though the underlying data is exactly the same.

[[Image:Image:Teachinggruppe8tbl2.JPG]]

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:48:17Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

=Second Solution=

An alternative solution is the table below. This table similar to the initial table but uses white space to seperate data, color to highlight postive and negative percentage changes and "bars" to allow one to easily compare the m3. This table has been included to show how the exact same data can be visualised in different forms to highlight different aspects of the data, even though the underlying data is exactly the same.

[Image:Image:Teachinggruppe8tbl2.JPG]

File:Teachinggruppe8tbl2.JPG

2007-11-23T19:38:57Z

UE-InfoVis0708 9927198: Table created for Infovis Uebung

== Summary ==
Table created for Infovis Uebung
== Copyright status ==
Freely usable
== Source ==
Patrick Wolowicz 2008

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:13:25Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==New Table==
With the problems of the initial table in mind the following table was designed:
[[Image:Tab2_8_bezirk_klein.JPG]]

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:08:58Z

UE-InfoVis0708 9927198:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:ooen_wohnungspreise.jpg]]

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2007/08|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~aigner/teaching/infovis_ue/index.html UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

==new Table==
[[Image:Tab2_8_bezirk_klein.JPG]]

== Design Problems of the Table ==

While the original table displays valid data the data isn't presented well and so is hard to read. In particular:

*'''White space''' – There is no white space, neither between columns nor between rows.
*'''Grid''' – The whole table is paritioned with one grid format therefore tt is not easy to determine what data belongs together.
*'''Background/fill color''' – The original table only uses one background color. There is no fill color usage to highlight specific data or to group data. Tracking a row horizontally becomes difficult, one might fall into a different row.
*'''Table terminology''' –
**Header - The header contains redundant information (e.g. „einfacher Wohnwert“, „PS 2007“).
**Some information should be in the table's headline, such as „PS 2007“. The whole table is about PS 2007 and repeatingly stating the same information the table becomes difficult to read.
*'''Orientation''' –
**The numbers in the lines „PS 2007“ represent quantitive values and should be placed right.
**Alignment – the 'percent' data should be aligned to the right side
**Percentage signs – These should appear on the right of the percentage value.
*H'''eaders''' – It is unclear to the reader what the headers actually mean:
**„Wohnwert“ - is this the actual market value or something else?
**+/- % - is this the procentual change compared to the last year?
**„gebrauchte Eigentumswohnungen“ - is this the number of flats needed or the number of flats in use?
**What charactaristics are represented by the values „sehr gut“, „gut“?

==Modifications==
The following modifications where made:
*The whole table was '''redesigned'''. The table needs to be designed to fit its puprose. The following solution allows you to easily compare the seperate regions e.g. with one glance one can see that Braunau am Inn has a lower "einfach" percentage than Eferding.
*'''Better choice of headers''' – One major and many minor headers, minimal redundancy.
*'''Fill color''' – Every second line is colored, allowing you to follow a row easily.
*'''White space''' – Seperates the different regions to improve readability.
*'''Background color''' – a neutral color which can fits most color schemes.
*Regions are '''bold''' for quick finding.

==Improvement==
Additionally, the following improvements where made:
*A more sensible '''header choice'''.
*'''Improved readability''' due to a new formating (no longer row by row but clustered).
*More '''white space between''' data that does not belong together.
*Minimal '''black line usage'''.
*Less '''data per row'''.
*'''Comparable data''' can be found opposite/below each other.

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 2

2007-11-23T19:01:39Z

UE-InfoVis0708 9927198:

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Theme River

2007-11-08T23:39:00Z

UE-InfoVis0708 9927198:

[[Image:ThemeRiver.jpg|400px|right|thumb|ThemeRiver]]
==Quotation==
{{Quotation|A limitation of the existing ThemeRiver paradigm is that only one attribute can be displayed per theme. In this poster, we present a 3D extension, which enables us to display two attributes of each variable in the data stream. We further describe a technique to construct the Bezier surface that satisfies the ThemeRiver requirements, such as boundedness and preservation of local extrema.|[Imrich et al., 2004]}}

{{Quotation|The ThemeRiver visualization depicts thematic variations over time within a large collection of documents. The thematic changes are shown in the context of a time line and corresponding external events. The focus on temporal thematic change within a context framework allows a user to discern patterns that suggest relationships or trends. For example, the sudden change of thematic strength following an external event may indicate a causal relationship. Such patterns are not readily accessible in other visualizations of the data. We use a river metaphor to convey several key notions. The document collection's time line, selected thematic content, and thematic strength are indicated by the river's directed flow, composition, and changing width, respectively. The directed flow from left to right is interpreted as movement through time and the horizontal distance between two points on the river defines a time interval. At any point in time, the vertical distance, or width, of the river indicates the collective strength of the selected themes. Colored "currents" flowing within the river represent individual themes. A current's vertical width narrows or broadens to indicate decreases or increases in the strength of the individual theme. |[Havre et al., 2002]}}

{{Quotation|ThemeRiver is a prototype system that visualizes thematic variations over time across a collection of documents. The "river" flows through time, changing width to depict changes in the thematic strength of documents temporally collocated. Themes or topics are represented as colored "currents" flowing within the river that narrow or widen to indicate decreases or increases in the strength of a topic in associated documents at a specific point in time. The river is shown within the context of a timeline and a corresponding textual presentation of external events.|[Havre et al.]}}

==Pros==
* It provides an overview
* Changes in themes are easily visualizable
* Zooming to specific and/or exact period of time
* Its a time slice and not summarized with bars like in a histogram
* Contextual information
* Easy to interpret and use
* Switch particular theme labels on and off

==Contras==
* It is not possible to filter out exact data
* Color blind people may have problems reading the ThemeRiver if it only is presented in colors and without texture

==Usage==
Theme Rivers can be used for many different purposes, e.g.:
* political actions
** survival rate of soldiers in different positions
* economic actions
** water level in different countries
* military actions
* international events
* ...

==3D-ThemeRiver==
A ThemeRiver can be sketched as a 3D-Visualization as well. This version adds an additional variable to a 2D version. The 3D ThemeRiver preserves colors and reflects the changes of iron occurrence on the z-axis.
[[Image:ThemeRiver3D.jpg|300px|center|thumb|ThemeRiver 3D]]

==References==
*[Havre et al., 2002] Susan Havre, IEEE Computer Society, ''ThemeRiver: Visualizing Thematic CHanges in Large Document Collections'', Vol.8. No.1., January-March 2002 http://www.cg.tuwien.ac.at/courses/InfoVis/HallOfFame/2004/05_ThemeRiver/papers/ThemeRiverIEEE2002.pdf

*[Imrich et al., 2004] Peter Imrich, Center for Visual Computing, Computer Science, Stony Brook University, ''Interactive Poster: 3D ThemeRiver'', 2004 http://www.cg.tuwien.ac.at/courses/InfoVis/HallOfFame/2004/05_ThemeRiver/papers/3DThemeriver.pdf

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T23:34:30Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

= Description =
Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitability of a particular location for a purpose. [Wood, 1984]

= Examples =
A typical approach to get new information from existent data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualizing this data one can better understand it (see figure 2) but one can gain even more useful knowledge with further spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

= References =
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T23:31:42Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

= Description =
Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitability of a particular location for a purpose. [Wood, 1984]

= Examples =
A typical approach to get new information from existent data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualizing this data one can better understand it (see figure 2) but one can gain even more useful knowledge with spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

= References =
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T23:25:28Z

UE-InfoVis0708 9927198:

[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition=
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[Green, 2006]}}

= Description =
Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitibility of a particular location for a purpose. [Wood, 1984]

= Examples =
A typical approch to get new information from existant data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualising this data one can better understand it (see figure 2) but one can gain even more useful knowledge with spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3). [Pratt, 2003]

<gallery caption="" widths="150px" heights="200px" perrow="6">
Image:Spat1.JPG|Figure 1
Image:Spat2.JPG|Figure 2
Image:Spat3.JPG|Figure 3
</gallery>

= References =
* [Green, 2006] Richard Green, MCAG GIS: - Glossary of GIS Terms. Created at: December 21, 2006. Retrieved at: November 8, 2007. http://www.mcaggis.com/Glossary.html#S
* [Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58-59, October 2003
* [Wood, 1984] Stearns J. Wood, GIS Glossary h-t. Created at: 1984. Retrieved at: November 8, 2007. http://www.pcmag.com/encyclopedia_term/0,2542,t=GIS+glossary+h-t&i=43796,00.asp

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T23:00:03Z

UE-InfoVis0708 9927198:

File:Spat3.JPG

2007-11-08T22:39:31Z

UE-InfoVis0708 9927198: Spatialised Earthquake data

== Summary ==
Spatialised Earthquake data
== Copyright status ==
Unknown
== Source ==
[Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58, October 2003

File:Spat2.JPG

2007-11-08T22:38:05Z

UE-InfoVis0708 9927198: Plotted earthquake data

== Summary ==
Plotted earthquake data
== Copyright status ==
Unknown
== Source ==
[Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58, October 2003

File:Spat1.JPG

2007-11-08T22:37:08Z

UE-InfoVis0708 9927198: A table showing earthquake data in parts of the USA

== Summary ==
A table showing earthquake data in parts of the USA
== Copyright status ==
Unknown
== Source ==
[Pratt, 2003] Monica Pratt. Beginning spatial Analysis. ArcUser, October-December 2003: 58, October 2003

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T22:12:22Z

UE-InfoVis0708 9927198:

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T22:08:51Z

UE-InfoVis0708 9927198: /* Description */

= Definition =
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[http://www.mcaggis.com/Glossary.html#S MCAG GIS - Glossary of GIS Terms]}}

= Description =
Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitibility of a particular location for a purpose. http://www.pcmag.com/encyclopedia_term/0,2542,t=spatial+analysis&i=51802,00.asp

A typical approch to get new information from existant data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualising this data one can better understand it (see figure 2) but one can gain even more useful knowledge with spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3).

http://www.esri.com/news/arcuser/1003/files/sa101.pdf

= Examples =
[[Image:Gruppe08spatial.jpg|right|thumb|300px|Access to Retail in Detroit, 1990]]

= References =
http://www.mcaggis.com/Glossary.html#S

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T19:24:31Z

UE-InfoVis0708 9927198: /* Description */

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T18:48:57Z

UE-InfoVis0708 9927198: /* Examples */

File:Gruppe08spatial.jpg

2007-11-08T18:25:46Z

UE-InfoVis0708 9927198: Accessibility to retail in Detroit, 1990

== Summary ==
Accessibility to retail in Detroit, 1990
== Copyright status ==
Unknown
== Source ==
http://www.tcaup.umich.edu/archdoc/gis.html

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T16:54:01Z

UE-InfoVis0708 9927198:

Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis

2007-11-08T16:28:02Z

UE-InfoVis0708 9927198:

= Definition =
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[MCAG GIS - Glossary of GIS Terms]}}

= Description =

= Examples =

= References =
http://www.mcaggis.com/Glossary.html#S

User:UE-InfoVis0708 9927198

2007-10-29T14:13:20Z

UE-InfoVis0708 9927198:

==Personendaten==
'''Nachname:''' Wolowicz 
'''Vorname:''' Patrick 
'''Matrikelnr:''' e9927198 
'''Studienkennzahl:''' 534 
'''E-mail Adresse:''' e9927198_et_student.tuwien.ac.at

'''Foto''' 
[[Image:Thumb_PortalShirt.jpg]] 
[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08 (Kamtner, Wolowicz)]]

User:UE-InfoVis0708 9927198

2007-10-29T14:11:09Z

UE-InfoVis0708 9927198:

==Personendaten==
Nachname: Wolowicz 
Vorname: Patrick 
Matrikelnr: e9927198 
Studienkennzahl: 534 
E-mail Adresse: e9927198_et_student.tuwien.ac.at

Foto 
[[Image:http://www.infovis-wiki.net/images/b/b9/Thumb_PortalShirt.jpg]]
[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08 (Kamtner, Wolowicz)]]

File:Thumb PortalShirt.jpg

2007-10-29T14:09:18Z

UE-InfoVis0708 9927198: Foto von 9927198

== Summary ==
Foto von 9927198
== Copyright status ==

== Source ==
Valve Store