InfoVis:Wiki - User contributions [en]

2013-01-31: Parsons Institute for Information Mapping: Call for Papers and Projects

2012-03-28T10:09:21Z

112.205.235.54:

[[Category:News]]
[[Category:2011/11]]

Abstracts due: February 13th 2012
Full submissions due: March 19th 2012

The Parsons Journal for Information Mapping (PJIM) is calling for papers and projects for publication in the Spring 2012 Issue – The 2nd Issue of Volume IV. PJIM is an academic journal and [http://www.valleypistachio.com/ buy pistachios]
online forum designed to share [http://www.great-quotes.com/quotes/category/LoveLove Quotes] knowledge about information mapping and its related disciplines (information design, data/knowledge visualization, taxonomies, data analytics, informatics, information systems, and graphic interface design).

PJIM is published quarterly by the Parsons Institute for Information Mapping and focuses on both the theoretical and practical aspects of information visualization. With each issue, the Journal aims to [http://www.andrewflusche.com/services/virginia-reckless-driving-ticket-defense/Virginia reckless driving] present novel ideas and approaches that advance the field of Knowledge Visualization through visual, engineering, and cognitive methods.

We are interested in publishing original essays, academic manuscripts, interactive and non-interactive projects, [http://www.indoorfountains.com/category/indoor-wall-fountains Indoor Wall Fountains] and project documentation that address representation, processing, and communication of information. PJIM encourages interdisciplinary thinking and approaches.

We are open to submissions regarding, but not limited to, the following disciplines:
- Visual analysis and interpretation,
- Social, political, or economic discourse surrounding information, distribution and use,
- Cognition, thinking, and learning,
- Visual and perceptual literacy,
- Historical uses of information and imagery, and Semiotics

PJIM accepts submissions in the following styles:
- Traditional academic manuscripts that share empirical, methodological, and/or applied findings;
- Research-based academic essays with proper citations;
- Research –and/or interview – based articles; and
- Interactive and non-interactive projects, accompanied by project documentations.

PJIM does not accept “advertorials” or case studies of companies or commercial products.

Abstract Submissions Must Include the Following Information
- Authors (all): name, highest degree, mailing address, phone, fax, e-mail, and institutional affiliation as appropriate
- Biography (all authors): a brief, 25-50 word biography
- Title: title of your submission
- Keywords: a list of 5-10 keywords
- Abstract: description of the proposed, full submission, maximum of 250 words
- Format: description of the format of the final submission and what PJIM should expect to receive from you
- Technologies: description of project tools if applicable (e.g. URL, images, graphics, illustrations, etc.)

All manuscripts and essays must be submitted and formatted in Microsoft Word or Rich Text Format. For more information and submission guidelines, visit http://piim.newschool.edu/journal/submissions

About The Parsons Institute for Information Mapping

The Parsons Institute for Information Mapping (PIIM) is a Research, Development, and Professional Services facility within The New School, located in New York City. PIIM’s mission is to advance the field of Knowledge Visualization through academic and commercial pursuits.

PIIM researchers and staff disseminate their expertise in information categorization, knowledge representation, information taxonomy development, information logic and raking/scoring, knowledge visualization, and Graphic User Interface (GUI) and User Experience Design (UXD) by developing powerful tools and methods for decision makers and analysts. PIIM’s work seeks to increase decision maker and analyst cognition of complex data sets via efficient experiences and visualizations.

In both its own research and its engagements with government agencies, corporations and other organizations, PIIM pushes the boundaries of information, engineering and visual design to develop new ways of thinking about information – and to build and deliver corresponding real world solutions.

For more information, visit http://piim.newschool.edu

Category:Persons

2012-03-15T18:33:43Z

112.205.235.54:

[[Category:Top level]]
[http://erinazar.org/ erin azar]
[http://www.phuketproperty.com/Phuket property]

Category:Glossary

2011-11-29T04:44:32Z

112.205.235.54:

=== Related Glossaries ===
*'''[http://www.usabilityfirst.com/glossary/main.cgi Usability Glossary]''' (Extensive glossary of terms in Usability, HCI, Visualization, User Interface Design, and many more.) [http://www.netlook.com.br/ roupas da moda]
*'''[http://www.infovis.net/printRec.php?rec=glosario&lang=2 infovis.net Glossary]'''
*'''[http://www.wiley.com/college/busin/icmis/oakman/outline/glossary/glossary.htm The Computer Triangle]''' (Glossary of the book "The Computer Triangle" by Robert L. Oakman, University of South Carolina, 1996)

''Or simply use [http://www.google.com Google] and enter:'' '''define:<term>''' ''(e.g. "define:information visualization")''

[[Category:Top level]]
[http://www.valleypistachio.com/ food gift baskets]

[http://www.premierrivercruises.com/river-cruise-regions-of-the-world/vietnam-river-cruise/ Vietnam river cruises]
[http://www.phuketproperty.com/ Phuket property]
[http://www.prweekus.com/pages/login.aspx?returl=/citrix-online-taps-atomic-pr/article/165675/&pagetypeid=28&articleid=165675&accesslevel=2&expireddays=0&accessAndPrice=5AtomicPR]

Category:Glossary

2011-11-15T13:35:36Z

112.205.235.54:

Information Visualization

2011-10-31T04:19:56Z

112.205.235.54:

{{Definitionin|'''Information visualization ''(InfoVis)''''' produces (interactive) visual representations of [[abstract data]] to reinforce human cognition; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.}}

{{Definition|'''Information visualization ''(InfoVis)''''' is the communication of [[abstract data]] through the use of interactive visual interfaces. [Keim et al., 2006]}}

== Definitions ==

{{Quotation|Compact graphical presentation and user interface for
*manipulating [http://wikinstructions.com/ Online Instructions] large numbers of items
*possibly extracted from far larger datasets
Enables users to make
*discoveries,
*decisions, or
*explanations

about
*patterns (trend, cluster, gap, outlier...),
*groups of items, or
*individual items.|[Plaisant, 2001]}}

{{Quotation|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].|[Card et al., 1999]}}

{{Quotation|Information visualization utilizes computer graphics and [[interaction]] to assist humans in solving problems.|[Purchase et al., 2008, p. 58]}}

{{Quotation|Information visualization is a set of technologies that use visual computing to amplify human [[cognition]] with abstract information.|[Card, 2008, p. 542]}}

{{Quotation|Information visualization promises to help us speed our understanding and action in a world of increasing information volumes.|[Card, 2008, p. 542]}}

{{Quotation|The purpose of information visualization is to amplify cognitive performance, not just to create interesting pictures. Information visualizations should do for the mind what automobiles do for the feet.|[Card, 2008, p. 539]}}

{{Quotation|Information visualizations attempt to efficiently map data variables onto visual dimensions in order to create graphic representations.|[Gee et al., 2005]}}

{{Quotation|Information visualization, an increasingly important subdiscipline within [[HCI (Human-Computer Interaction)|HCI]], focuses on graphical mechanisms designed to show the structure of information and improve the cost of access to large data repositories. In printed form, information visualization has included the display of numerical data (e.g., bar charts, plot charts, pie charts), combinatorial relations (e.g., drawings of graphs), and geographic data (e.g., encoded maps). Computer-based systems, such as the information visualizer and [[Dynamic query|dynamic queries]] have added interactivity and new visualization techniques (e.g., 3D, animation).|[Averbuch, 2004]}}

{{Quotation|Visual representations of the semantics, or meaning, of information. In contrast to [[Scientific Visualization|scientific visualization]], information visualization typically deals with nonnumeric, nonspatial, and high-dimensional data.|[Chen, 2005]}}

{{Quotation|A method of presenting data or information in non-traditional, interactive graphical forms. By using 2-D or 3-D color graphics and animation, these visualizations can show the structure of information, allow one to navigate through it, and modify it with graphical interactions.|[UIUC DLI, 1998]}}

{{Quotation|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition. Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science. Practical application of information visualization in computer programs involves selecting, transforming and representing abstract data in a form that facilitates human interaction for exploration and understanding. Important aspects of information visualization are the interactivity and dynamics of the visual representation. Strong techniques enable the user to modify the visualization in real-time, thus affording unparalleled perception of patterns and structural relations in the abstract data in question. 
Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.|[Wikipedia, 2005]}}
{{Quotation|The study of how to effectively present information visually. Much of the work in this field focuses on creating innovative graphical displays for complicated datasets, such as census results, scientific data, and databases. An example problem would be deciding how to display the pages on a website or the files on a hard disk. Visualization techniques include selective hiding of data, layering data, taking advantage of 3-dimensional space, using scaling techniques to provide more space for more important information (e.g. Fisheye views), and taking advantage of psychological principles of layout, such as proximity, alignment, and shared visual properties (e.g. color).|[Usability First, 2003]}}

{{Quotation|'''Information visualization''', sometimes called InfoVis, is a special kind of visualization. Visualization is a part of computer graphics, which is in turn a subset of computer science. Visualization is defined as follows [Card et al., 1998]: Visualization is the use of interactive visual representations of data to amplify cognition. This means that the data is transformed into an image, it is mapped to screen space. The image can be changed by users as they proceed working with it. This interaction is important as it allows for constant redefinition of goals when new insight into the data has been gained. Visualization makes use of what is called external [[cognition]] [Card et al., 1998]. External resources are used for thinking. People are relieved from having to imagine everything. Instead they can just look at an image. This is only possible because human vision has a very large bandwidth, the largest of all senses [Card et al., 1998]. Information visualization is visualization of [[abstract data]]. This is data that has no inherent mapping to space. Examples for abstract data are the results of a survey or a database of the staff of a company containing names, addresses, salary and other attributes. Information visualization should be seen in contrast to [[Scientific Visualization|scientific visualization]], which deals with physically-based data. This kind of data is defined in reference to space coordinates, which makes it relatively easy to visualize in an intuitive way. The space coordinates in the dataset are mapped to screen coordinates. Examples are geographic data and computer tomography data of a body. Visualization of abstract data is not straightforward. One has to find a good way to map data values to screen space. It makes a difference whether the data is structured or unstructured. Examples for structured data are networks, software, and algorithms. This kind of data does not play a role in this thesis, only unstructured data is used here. Unstructured data is a collection of records with a number of different criteria in each record. The records can be, for instance, the individual fish in a fish-catch. Of each fish the following criteria can be recorded: species, weight, sex, and different measurements of length [...]. The records are arranged in rows, the criteria make up the columns of a table. The records are also called observations. The criteria are sometimes called variables, and sometimes dimensions. [...]|[Voigt, 2002]}}

{{Quotation|involves abstract, nonspatial data|[Tory and M?ller, 2004]}}

{{Quotation|In [[Information Visualization|information visualization]], the graphical models may represent [[Abstract data|abstract]] concepts and relationships that do not necessarily have a counterpart in the physical world, e.g., information describing user accesses to pages of an Internet portal or records describing selected properties of different car brands and models. Typically, each data unity describes multiple related attributes (usually more than four) that are not of a spatial or temporal nature. Although spatial and temporal attributes may occur, the data exists in an abstract (conceptual) data space.|[Ferreira and Levkowitz, 2003]}}

== Overview ==

Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by [[exploratory data analysis|''exploration'']] rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.

[[Image:zook_large.gif|right|thumb|250px|Information Visualization Example]][[Image:boom.gif|right|thumb|250px|Visualization of a directory structure using a botanical model]]

== Examples ==

Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.

Some prominent examples are:
*Economical/financial analysis
*Representation of large hierarchies
*Medical training/assistance
*Engineering/Physics

== See also ==
*[[Visualization]]
*[[Scientific Visualization]]

== References ==

*[Averbuch, 2004] Michael Averbuch, ''As you Like It: Tailorable Information Visualization'', Database Visualization Research Group, Tufts University, 2004.
*[Card, 2008] Stuart Card, Information visualization, in A. Sears and J.A. Jacko (eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, Lawrence Erlbaum Assoc Inc, 2007.
*[Card et al., 1999] Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1999.
*[Chen, 2005] Chen, C. [ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31454&arnumber=1463074&count=14&index=3 Top 10 Unsolved Information Visualization Problems], IEEE Computer Graphics and Applications, 25(4):12-16, July-Aug. 2005.
* [Ferreira and Levkowitz, 2003] Maria Cristina Ferreira de Oliveira, Haim Levkowitz, [doi.ieeecomputersociety.org/10.1109/TVCG.2003.1207445 From Visual Data Exploration to Visual Data Mining: A Survey], IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 378-394, July-September, 2003.
*[Gee et al., 2005] Gee, A.G., Yu, M., and Grinstein, G.G., Dynamic and Interactive Dimensional Anchors for Spring-Based Visualizations. Technical Report, Computer Science, University of Massachussetts Lowell.
*[Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
*[Plaisant, 2001] Plaisant, C., Information Visualization - Lecture Notes, Created at: November 2001.
*[Purchase et al., 2008] Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., and Ward, M. 2008. Theoretical Foundations of Information Visualization. In information Visualization: Human-Centered Issues and Perspectives, A. Kerren, J. T. Stasko, J. Fekete, and C. North, Eds. Lecture Notes In Computer Science, vol. 4950. Springer-Verlag, Berlin, Heidelberg, 46-64. DOI= lololdx.doi.org/10.1007/978-3-540-70956-5_3
*[Tory and M?ller, 2004] Melanie Tory and Torsten M?ller, Human Factors in Visualization Research, ''IEEE Transactions on Visualization and Computer Graphics'', 10(1):72-84, January/February 2004.
*[UIUC DLI, 1998] University of Illinois at Urbana-Champaign Digital Libraries Initiative, UIUC DLI Glossary. Created: November 23, 1998. dli.grainger.uiuc.edu/glossary.htm
*[Usability First, 2003] Usability First, Usability Glossary. Retrieved at: 2003. www.usabilityfirst.com/glossary/main.cgi?function=display_term&term_id=5
*[Voigt, 2002]: Robert Voigt, [www.vrvis.at/via/resources/DA-RVoigt/masterthesis.html An Extended Scatterplot Matrix and Case Studies in Information Visualization], Master's thesis, Hochschule Magdeburg-Stendal, 2002, [www.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms'']
*[Wikipedia, 2005] Wikipedia, Information visualization. Retrieved at: July 19, 2005. en.wikipedia.org/wiki/Information_visualization
== External links ==
*www.math.yorku.ca/SCS/Gallery/ has a lot of (positive and negative) examples including historical milestones.
[[Category:Glossary]]
[http://www.merchantservicesprotectionplan.info/ Merchant Services Protection Plan]
[http://www.linkedin.com/company/bankers-life-and-casualty bankers life and casualty company]
[http://www.susanlimsurgery.com/news_trinity_college_trinitys_first_singaporean_and_youngest_fellow.html/ Dr Susan Lim]

Information Visualization

2011-10-30T13:23:49Z

112.205.235.54:

{{Definitionin|'''Information visualization ''(InfoVis)''''' produces (interactive) visual representations of [[abstract data]] to reinforce human cognition; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.}}

{{Definition|'''Information visualization ''(InfoVis)''''' is the communication of [[abstract data]] through the use of interactive visual interfaces. [Keim et al., 2006]}}

== Definitions ==

{{Quotation|Compact graphical presentation and user interface for
*manipulating large numbers of items
*possibly extracted from far larger datasets
Enables users to make
*discoveries,
*decisions, or
*explanations

about
*patterns (trend, cluster, gap, outlier...),
*groups of items, or
*individual items.|[Plaisant, 2001]}}

{{Quotation|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].|[Card et al., 1999]}}

{{Quotation|Information visualization utilizes computer graphics and [[interaction]] to assist humans in solving problems.|[Purchase et al., 2008, p. 58]}}

{{Quotation|Information visualization is a set of technologies that use visual computing to amplify human [[cognition]] with abstract information.|[Card, 2008, p. 542]}}

{{Quotation|Information visualization promises to help us speed our understanding and action in a world of increasing information volumes.|[Card, 2008, p. 542]}}

{{Quotation|The purpose of information visualization is to amplify cognitive performance, not just to create interesting pictures. Information visualizations should do for the mind what automobiles do for the feet.|[Card, 2008, p. 539]}}

{{Quotation|Information visualizations attempt to efficiently map data variables onto visual dimensions in order to create graphic representations.|[Gee et al., 2005]}}

{{Quotation|Information visualization, an increasingly important subdiscipline within [[HCI (Human-Computer Interaction)|HCI]], focuses on graphical mechanisms designed to show the structure of information and improve the cost of access to large data repositories. In printed form, information visualization has included the display of numerical data (e.g., bar charts, plot charts, pie charts), combinatorial relations (e.g., drawings of graphs), and geographic data (e.g., encoded maps). Computer-based systems, such as the information visualizer and [[Dynamic query|dynamic queries]] have added interactivity and new visualization techniques (e.g., 3D, animation).|[Averbuch, 2004]}}

{{Quotation|Visual representations of the semantics, or meaning, of information. In contrast to [[Scientific Visualization|scientific visualization]], information visualization typically deals with nonnumeric, nonspatial, and high-dimensional data.|[Chen, 2005]}}

{{Quotation|A method of presenting data or information in non-traditional, interactive graphical forms. By using 2-D or 3-D color graphics and animation, these visualizations can show the structure of information, allow one to navigate through it, and modify it with graphical interactions.|[UIUC DLI, 1998]}}

{{Quotation|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition. Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science. Practical application of information visualization in computer programs involves selecting, transforming and representing abstract data in a form that facilitates human interaction for exploration and understanding. Important aspects of information visualization are the interactivity and dynamics of the visual representation. Strong techniques enable the user to modify the visualization in real-time, thus affording unparalleled perception of patterns and structural relations in the abstract data in question. 
Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.|[Wikipedia, 2005]}}
{{Quotation|The study of how to effectively present information visually. Much of the work in this field focuses on creating innovative graphical displays for complicated datasets, such as census results, scientific data, and databases. An example problem would be deciding how to display the pages on a website or the files on a hard disk. Visualization techniques include selective hiding of data, layering data, taking advantage of 3-dimensional space, using scaling techniques to provide more space for more important information (e.g. Fisheye views), and taking advantage of psychological principles of layout, such as proximity, alignment, and shared visual properties (e.g. color).|[Usability First, 2003]}}

{{Quotation|'''Information visualization''', sometimes called InfoVis, is a special kind of visualization. Visualization is a part of computer graphics, which is in turn a subset of computer science. Visualization is defined as follows [Card et al., 1998]: Visualization is the use of interactive visual representations of data to amplify cognition. This means that the data is transformed into an image, it is mapped to screen space. The image can be changed by users as they proceed working with it. This interaction is important as it allows for constant redefinition of goals when new insight into the data has been gained. Visualization makes use of what is called external [[cognition]] [Card et al., 1998]. External resources are used for thinking. People are relieved from having to imagine everything. Instead they can just look at an image. This is only possible because human vision has a very large bandwidth, the largest of all senses [Card et al., 1998]. Information visualization is visualization of [[abstract data]]. This is data that has no inherent mapping to space. Examples for abstract data are the results of a survey or a database of the staff of a company containing names, addresses, salary and other attributes. Information visualization should be seen in contrast to [[Scientific Visualization|scientific visualization]], which deals with physically-based data. This kind of data is defined in reference to space coordinates, which makes it relatively easy to visualize in an intuitive way. The space coordinates in the dataset are mapped to screen coordinates. Examples are geographic data and computer tomography data of a body. Visualization of abstract data is not straightforward. One has to find a good way to map data values to screen space. It makes a difference whether the data is structured or unstructured. Examples for structured data are networks, software, and algorithms. This kind of data does not play a role in this thesis, only unstructured data is used here. Unstructured data is a collection of records with a number of different criteria in each record. The records can be, for instance, the individual fish in a fish-catch. Of each fish the following criteria can be recorded: species, weight, sex, and different measurements of length [...]. The records are arranged in rows, the criteria make up the columns of a table. The records are also called observations. The criteria are sometimes called variables, and sometimes dimensions. [...]|[Voigt, 2002]}}

{{Quotation|involves abstract, nonspatial data|[Tory and M?ller, 2004]}}

{{Quotation|In [[Information Visualization|information visualization]], the graphical models may represent [[Abstract data|abstract]] concepts and relationships that do not necessarily have a counterpart in the physical world, e.g., information describing user accesses to pages of an Internet portal or records describing selected properties of different car brands and models. Typically, each data unity describes multiple related attributes (usually more than four) that are not of a spatial or temporal nature. Although spatial and temporal attributes may occur, the data exists in an abstract (conceptual) data space.|[Ferreira and Levkowitz, 2003]}}

== Overview ==

Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by [[exploratory data analysis|''exploration'']] rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.

[[Image:zook_large.gif|right|thumb|250px|Information Visualization Example]][[Image:boom.gif|right|thumb|250px|Visualization of a directory structure using a botanical model]]

== Examples ==

Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.

Some prominent examples are:
*Economical/financial analysis
*Representation of large hierarchies
*Medical training/assistance
*Engineering/Physics

== See also ==
*[[Visualization]]
*[[Scientific Visualization]]

== References ==

*[Averbuch, 2004] Michael Averbuch, ''As you Like It: Tailorable Information Visualization'', Database Visualization Research Group, Tufts University, 2004.
*[Card, 2008] Stuart Card, Information visualization, in A. Sears and J.A. Jacko (eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, Lawrence Erlbaum Assoc Inc, 2007.
*[Card et al., 1999] Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1999.
*[Chen, 2005] Chen, C. [ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31454&arnumber=1463074&count=14&index=3 Top 10 Unsolved Information Visualization Problems], IEEE Computer Graphics and Applications, 25(4):12-16, July-Aug. 2005.
* [Ferreira and Levkowitz, 2003] Maria Cristina Ferreira de Oliveira, Haim Levkowitz, [doi.ieeecomputersociety.org/10.1109/TVCG.2003.1207445 From Visual Data Exploration to Visual Data Mining: A Survey], IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 378-394, July-September, 2003.
*[Gee et al., 2005] Gee, A.G., Yu, M., and Grinstein, G.G., Dynamic and Interactive Dimensional Anchors for Spring-Based Visualizations. Technical Report, Computer Science, University of Massachussetts Lowell.
*[Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
*[Plaisant, 2001] Plaisant, C., Information Visualization - Lecture Notes, Created at: November 2001.
*[Purchase et al., 2008] Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., and Ward, M. 2008. Theoretical Foundations of Information Visualization. In information Visualization: Human-Centered Issues and Perspectives, A. Kerren, J. T. Stasko, J. Fekete, and C. North, Eds. Lecture Notes In Computer Science, vol. 4950. Springer-Verlag, Berlin, Heidelberg, 46-64. DOI= lololdx.doi.org/10.1007/978-3-540-70956-5_3
*[Tory and M?ller, 2004] Melanie Tory and Torsten M?ller, Human Factors in Visualization Research, ''IEEE Transactions on Visualization and Computer Graphics'', 10(1):72-84, January/February 2004.
*[UIUC DLI, 1998] University of Illinois at Urbana-Champaign Digital Libraries Initiative, UIUC DLI Glossary. Created: November 23, 1998. dli.grainger.uiuc.edu/glossary.htm
*[Usability First, 2003] Usability First, Usability Glossary. Retrieved at: 2003. www.usabilityfirst.com/glossary/main.cgi?function=display_term&term_id=5
*[Voigt, 2002]: Robert Voigt, [www.vrvis.at/via/resources/DA-RVoigt/masterthesis.html An Extended Scatterplot Matrix and Case Studies in Information Visualization], Master's thesis, Hochschule Magdeburg-Stendal, 2002, [www.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms'']
*[Wikipedia, 2005] Wikipedia, Information visualization. Retrieved at: July 19, 2005. en.wikipedia.org/wiki/Information_visualization
== External links ==
*www.math.yorku.ca/SCS/Gallery/ has a lot of (positive and negative) examples including historical milestones.
[[Category:Glossary]]
[http://www.merchantservicesprotectionplan.info/ Merchant Services Protection Plan]
[http://www.linkedin.com/company/bankers-life-and-casualty bankers life and casualty company]
[http://www.susanlimsurgery.com/news_trinity_college_trinitys_first_singaporean_and_youngest_fellow.html/ Dr Susan Lim]

Visualization Design Patterns

2011-10-29T18:08:17Z

112.205.235.54:

{| align="right" | __TOC__ |}
== Overview ==
For any design discipline, including Information and Scientific Visualization, there are design problems within the domain that tend to arise, time and again. Although effective solutions may be known,[http://featherranch.com/ labrador puppies] they are not helpful unless that knowledge is coherently structured and communicated to colleagues. Without good structure, design knowledge may be disparate and disjointed, and relationships among [http://brooks-range.com/alpini-30-sb.html/ Lightweight down bag] solutions may not be apparent [http://www.bankerslifeinsurance.com/ bankers life]. Without good communication, designers who are unaware of solutions may be forced to ‘reinvent the wheel’, wasting unnecessary effort on a problem that has already been solved by others. Some means of capturing and codifying solutions to Information Visualisation design problems would be [http://www.facebook.com/bsafans/ Beauty Schools of America Complaints] useful for [http://www.congregationbuilder.com/ church calendar software] those engaged in practice. The Visualization Design Patterns described here have been proposed for this purpose.
== Foundational Patterns ==

These patterns are the building blocks of Visualizations. They are more "reference patterns" than true "design patterns". Visualization designers will assume they are a given component of visualization design. The patterns are included to provide a common technical lexicon, to build a ''lingua franca'' used throughout the language, to encourage communications between novices and experts, and to facilitate a discussion of pros and cons.

=== '''Visualization Architecture''' ===
* [[Patterns:Visualization|Visualization]]

=== '''Interaction Patterns''' ===
User intent-based categories of interaction techniques <ref>Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J. A. (2007). [http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70605 Toward a Deeper Understanding of the Role of Interaction in Information Visualization.] IEEE Transactions on Visualization and Computer Graphics (TVCG), 13(6). Presented in InfoVis 2007, Sacramento, California, October 28 - November 1, 1224-1231. (see also [http://vgtc.org/wpmu/infovis07/?p=28 Toward a Deeper Understanding of the Role of Interaction in Information Visualization (presentation)])</ref>
* Reconfigure: show me a different arrangement
* Encode: show me a different representation
* Filter: show me something conditionally
** [[Patterns:Filter|Filter]]
** [[Patterns:Dynamic Queries|Dynamic Queries]]
** [[Patterns:Context-maintained Filter|Context-maintained Filter]]
** [[Patterns:Reduction Filter|Reduction Filter]]
** [[http://www.bestpills4weightloss.com| http://www.bestpills4weightloss.com]]
* Abstract/Elaborate: show me more or less detail
** [[Patterns:Overview|Overview]]
** [[Patterns:Details-on-demand| Details-on-demand]]
* Connect: show me related items
** [[Patterns:Brushing|Brushing]]
* Explore: show me something else
** [[Patterns:Navigation|Navigation]]
** [[Patterns:Navigation Box|Navigation Box]]
** [[Patterns:Spatial Navigation|Spatial Navigation]]
** [[Patterns:Click-n-Drag|Click-n-Drag]]
** [[Patterns:Teleportation|Teleportation]]
* Select: mark something as interesting
** [[Patterns:Single Direct Selection|Single Direct Selection]]
** [[Patterns:Multiple Direct Selection|Multiple Direct Selection]]
** [[Patterns:Bounding Box|Bounding Box]]
** [[Patterns:Single Direct Selection+Keyboard|Single Direct Selection+Keyboard]]
** [[Patterns:Bounding Box+Keyboard|Bounding Box+Keyboard]]
* Other
** [[Patterns:Direct Manipulation|Direct Manipulation]]
** [[Patterns:Smooth Transitions|Smooth Transitions]]
** [[Patterns:2D Navigational Model|2D Navigational Model]]
** [[Patterns:3D Navigational Model|3D Navigational Model]]
** [[Patterns:NAFS Model|NAFS Model]]

See also: [http://en.wikipedia.org/wiki/Interaction_design_pattern Interaction Design Patterns (wikipedia article)]

=== '''Display Rendering Patterns''' ===

* [[Patterns:Appropriate Visual Objects|Appropriate Visual Objects]]
* [[Patterns:Level of Detail|Level of Detail]]
* [[Patterns:2d Representation|2d Representation]]
* [[Patterns:3d Representation|3d Representation]]
* [[Patterns:Reference Context|Reference Context]]
* [[Patterns:Redundant Encoding|Redundant Encoding]]
* [[Patterns:Small Multiples|Small Multiples]]
* [[Patterns:Datatips|Datatips]]
* [[Patterns:Legends|Legends]]
* [[Patterns:Visual Separation|Visual Separation]]
* [[Patterns:Familiar Organizational Device|Familiar Organizational Device]]
* [[Patterns:Non-Familiar Organizational Device|Non-Familiar Organizational Device]]
* [http://completewaveguide.com/guide/Le_Guide_Complet_Google_Wave Google Wave]

== Programming Patterns ==
These are patterns related to the backend programming of visualization systems. They are organised according to the Model-View-Controller approach, though other organizational systems may also be appropriate.

Heer and Agrawala's paper ''Software Design Patterns for Information Visualization''<ref name="soft">see Heer, J. & Agrawala, M., 2006. [http://vis.berkeley.edu/papers/infovis_design_patterns/ Software Design Patterns for Information Visualization]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 12(5), p.853.</ref> provides a useful overview of software design patterns specific to infovis tasks.

=== Data Modelling and Management ===
* [[Patterns:Reference Model|Reference Model]]<ref name="soft"/>
* [[Patterns:Data Column|Data Column]]<ref name="soft"/>
* [[Patterns:Cascaded Table|Cascaded Table]]
* [[Patterns:Relational Graph|Relational Graph]]
* [[Patterns:Proxy Tuple|Proxy Tuple]]
* [[Patterns:Expression|Expression]]
=== View ===
* [[Patterns:Camera|Camera]]
* [[Patterns:Dynamic Query Binding|Dynamic Query Binding]]
=== Controller ===
* [[Patterns:Scheduler|Scheduler]]
* [[Patterns:Operator|Operator]]
* [[Renderer]]
* [[Production Rule]]
== Development Patterns ==
These patterns relate to the [http://www.xwise.co.il/ seo] systems development lifecycle and to the activities involved in implementing and testing software.
=== Diagnosis ===
For techniques used during the design process to evaluate coding and design-time decisions.
=== Evaluation and Testing ===
Quality Assurance, Evaluation, and [http://www.susanlim.com/ Susan Lim] Usability testing methods to close the feedback loop during the development lifecycle.

== References ==
<div class="references-small"> <references/> </div>

[[Category:Patterns]]

Information Visualization

2011-10-27T14:55:01Z

112.205.235.54:

{{Definitionin|'''Information visualization ''(InfoVis)''''' produces (interactive) visual representations of [[abstract data]] to reinforce human cognition; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.}}

{{Definition|'''Information visualization ''(InfoVis)''''' is the communication of [[abstract data]] through the use of interactive visual interfaces. [Keim et al., 2006]}}

== Definitions ==

{{Quotation|Compact graphical presentation and user interface for
*manipulating large numbers of items
*possibly extracted from far larger datasets
Enables users to make
*discoveries,
*decisions, or
*explanations
*[lololwww.gather.com/viewArticle.action?articleId=281474979624859 boils]
*[lololwww.allgallbladdersymptoms.org/ Gallbladder disease]

about
*patterns (trend, cluster, gap, outlier...),
*groups of items, or
*individual items.|[Plaisant, 2001]}}

{{Quotation|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].|[Card et al., 1999]}}

{{Quotation|Information visualization utilizes computer graphics and [[interaction]] to assist humans in solving problems.|[Purchase et al., 2008, p. 58]}}

{{Quotation|Information visualization is a set of technologies that use visual computing to amplify human [[cognition]] with abstract information.|[Card, 2008, p. 542]}}

{{Quotation|Information visualization promises to help us speed our understanding and action in a world of increasing information volumes.|[Card, 2008, p. 542]}}

{{Quotation|The purpose of information visualization is to amplify cognitive performance, not just to create interesting pictures. Information visualizations should do for the mind what automobiles do for the feet.|[Card, 2008, p. 539]}}

{{Quotation|Information visualizations attempt to efficiently map data variables onto visual dimensions in order to create graphic representations.|[Gee et al., 2005]}}

{{Quotation|Information visualization, an increasingly important subdiscipline within [[HCI (Human-Computer Interaction)|HCI]], focuses on graphical mechanisms designed to show the structure of information and improve the cost of access to large data repositories. In printed form, information visualization has included the display of numerical data (e.g., bar charts, plot charts, pie charts), combinatorial relations (e.g., drawings of graphs), and geographic data (e.g., encoded maps). Computer-based systems, such as the information visualizer and [[Dynamic query|dynamic queries]] have added interactivity and new visualization techniques (e.g., 3D, animation).|[Averbuch, 2004]}}

{{Quotation|Visual representations of the semantics, or meaning, of [http://www.prnewswire.com/news-releases/atomic-pr-announces-addition-of-three-new-clients-to-agencys-new-york-office-101781623.html/ AtomicPR] information. In contrast to [[Scientific Visualization|scientific visualization]], information visualization typically deals with nonnumeric, nonspatial, and high-dimensional data.|[Chen, 2005]}}

{{Quotation|A method of presenting data or [http://www.ardenwoodforest.com/ condo rental fremont ca] information in non-traditional, interactive graphical forms. By using 2-D or 3-D color graphics and animation, these visualizations can show the structure of information, allow one to navigate through it, and modify it with graphical interactions.|[UIUC DLI, 1998]}}

{{Quotation|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition. Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science. Practical application of information visualization in computer programs involves selecting, transforming and representing abstract data in a form that facilitates human interaction for exploration and understanding. Important aspects of information visualization are the interactivity and dynamics of the visual representation. Strong techniques enable the user to modify the visualization in real-time, thus affording unparalleled perception of patterns and structural relations in the abstract data in question. 
Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.|[Wikipedia, 2005]}}
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{{Quotation|The study of how to effectively present information visually. Much of the work in this field focuses on creating innovative graphical displays for complicated datasets, such as census results, scientific data, and databases. An example problem would be deciding how to display the pages on a website or the files on a hard disk. Visualization techniques include selective hiding of data, layering data, taking advantage of 3-dimensional space, using scaling techniques to provide more space for more important information (e.g. Fisheye views), and taking advantage of psychological principles of layout, such as proximity, alignment, and shared visual properties (e.g. color).|[Usability First, 2003]}}

{{Quotation|'''Information visualization''', sometimes called InfoVis, is a special kind of visualization. Visualization is a part of computer graphics, which is in turn a subset of computer science. Visualization is defined as follows [Card et al., 1998]: Visualization is the use of [http://www.loansandcredit.com/ fast personal loans] interactive visual representations of data to amplify cognition. This means that the data is transformed into an image, it is mapped to screen space. The image can be changed by users as they proceed working with it. This interaction is important as it allows for constant redefinition of goals when new insight into the data has been gained. Visualization makes use of what is called external [[cognition]] [Card et al., 1998]. External resources are used for thinking. People are relieved from having to imagine everything. Instead they can just look at an image. This is only possible because human vision has a very large bandwidth, the largest of all senses [Card et al., 1998]. Information visualization is visualization of [[abstract data]]. This is data that has no inherent mapping to space. Examples for abstract data are the results of a survey or a database of the staff of a company containing names, addresses, salary and other attributes. Information visualization should be seen in contrast to [[Scientific Visualization|scientific visualization]], which deals with physically-based data. This kind of data is defined in reference to space coordinates, which makes it relatively easy to visualize in an intuitive way. The space coordinates in the dataset are mapped to screen coordinates. Examples are geographic data and computer tomography data of a body. Visualization of abstract data is not straightforward. One has to find a good way to map data values to screen space. It makes a difference whether the data is structured or unstructured. Examples for structured data are networks, software, and algorithms. This kind of data does not play a role in this thesis, only unstructured data is used here. Unstructured data is a collection of records with a number of different criteria in each record. The records can be, for instance, the individual fish in a fish-catch. Of each fish the following criteria can be recorded: species, weight, sex, and different measurements of length [...]. The records are arranged in rows, the criteria make up the columns of a table. The records are also called observations. The criteria are sometimes called variables, and sometimes dimensions. [...]|[Voigt, 2002]}}

{{Quotation|involves abstract, nonspatial data|[Tory and M?ller, 2004]}}

{{Quotation|In [[Information Visualization|information visualization]], the graphical models may represent [[Abstract data|abstract]] concepts and relationships that do not necessarily have a counterpart in the physical world, e.g., information describing user accesses to pages of an Internet portal or records describing selected properties of different car brands and models. Typically, each data unity describes multiple related attributes (usually more than four) that are not of a spatial or temporal nature. Although spatial and temporal attributes may occur, the data exists in an abstract (conceptual) data space.|[Ferreira and Levkowitz, 2003]}}

== Overview ==

Application of information visualization on the computer involves providing [lololwww.url.vn/2.html/ thiet ke web] means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by [[exploratory data analysis|''exploration'']] rather than pure reasoning; users [lololwww.vitaminddeficiencyonline.com/ Vitamin D] [lololwww.seo.url.vn/2.html/ dich vu seo] can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.

[[Image:zook_large.gif|right|thumb|250px|Information Visualization Example]][[Image:boom.gif|right|thumb|250px|Visualization of a directory structure using a botanical model]]

== Examples ==

Information visualization is applied in countless areas covering every industry [lololwww.vietnamairlinestickets.com/2.html/ Vietnam Airlines] and all tasks where understanding of the intrinsic structure in data is crucial.

Some prominent examples are:
*Economical/financial analysis
*Representation of large hierarchies
*Medical training/assistance
*Engineering/Physics

== See also ==
*[[Visualization]]
*[[Scientific Visualization]]

== References ==

*[Averbuch, 2004] Michael Averbuch, ''As you Like It: Tailorable Information Visualization'', Database Visualization Research Group, Tufts University, 2004.
*[Card, 2008] Stuart Card, Information visualization, in A. Sears and J.A. Jacko (eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, Lawrence Erlbaum Assoc Inc, 2007.
*[Card et al., 1999] Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1999.
*[Chen, 2005] Chen, C. [lololieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31454&arnumber=1463074&count=14&index=3 Top 10 Unsolved Information Visualization Problems], IEEE Computer Graphics and Applications, 25(4):12-16, July-Aug. 2005.
* [Ferreira and Levkowitz, 2003] Maria Cristina Ferreira de Oliveira, Haim Levkowitz, [lololdoi.ieeecomputersociety.org/10.1109/TVCG.2003.1207445 From Visual Data Exploration to Visual Data Mining: A Survey], IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 378-394, July-September, 2003.
*[Gee et al., 2005] Gee, A.G., Yu, M., and Grinstein, G.G., Dynamic and Interactive Dimensional Anchors for Spring-Based Visualizations. Technical Report, Computer Science, University of Massachussetts Lowell.
*[Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
*[Plaisant, 2001] Plaisant, C., Information Visualization - Lecture Notes, Created at: November 2001.
*[Purchase et al., 2008] Purchase, H. C., Andrienko, N., Jankun-Kelly, T. J., and Ward, M. 2008. Theoretical Foundations of Information Visualization. In information Visualization: Human-Centered Issues and Perspectives, A. Kerren, J. T. Stasko, J. Fekete, and C. North, Eds. Lecture Notes In Computer Science, vol. 4950. Springer-Verlag, Berlin, Heidelberg, 46-64. DOI= lololdx.doi.org/10.1007/978-3-540-70956-5_3
*[Tory and M?ller, 2004] Melanie Tory and Torsten M?ller, Human Factors in Visualization Research, ''IEEEE Transactions on Visualization and Computer Graphics'', 10(1):72-84, January/February 2004.
*[UIUC DLI, 1998] University of Illinois at Urbana-Champaign Digital Libraries Initiative, UIUC DLI Glossary. Created: November 23, 1998. lololdli.grainger.uiuc.edu/glossary.htm
*[Usability First, 2003] Usability First, Usability Glossary. Retrieved at: 2003. lololwww.usabilityfirst.com/glossary/main.cgi?function=display_term&term_id=5
*[Voigt, 2002]: Robert Voigt, [lololwww.vrvis.at/via/resources/DA-RVoigt/masterthesis.html An Extended Scatterplot Matrix and Case Studies in Information Visualization], Master's thesis, Hochschule Magdeburg-Stendal, 2002, [lololwww.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms'']
*[Wikipedia, 2005] Wikipedia, Information visualization. Retrieved at: July 19, 2005. lololen.wikipedia.org/wiki/Information_visualization
** [http://www.merchantservicesprotectionplan.info/ Merchant Services Protection Plan]
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*[[http://cameragiamsatvn.org camera hồng ngoại]][[Category:Glossary]]

Category:Glossary

2011-10-24T16:05:37Z

112.205.235.54: minor edit

=== Related Glossaries ===
*'''[http://www.usabilityfirst.com/glossary/main.cgi Usability Glossary]''' (Extensive glossary of terms in Usability, HCI, Visualization, User Interface Design, and many more.)
*'''[http://www.infovis.net/printRec.php?rec=glosario&lang=2 infovis.net Glossary]'''
*'''[http://www.wiley.com/college/busin/icmis/oakman/outline/glossary/glossary.htm The Computer Triangle]''' (Glossary of the book "The Computer Triangle" by Robert L. Oakman, University of South Carolina, 1996)

''Or simply use [http://www.google.com Google] and enter:'' '''define:<term>''' ''(e.g. "define:information visualization")''

[[Category:Top level]]
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Visualization Design Patterns

2011-10-14T03:10:41Z

112.205.235.54:

{| align="right" | __TOC__ |}
== Overview ==
For any design discipline, including Information and Scientific Visualization, there are design problems within the domain that tend to arise, time and again. Although effective solutions may be known, they are not helpful unless that knowledge is coherently structured and communicated to colleagues. Without good structure, design knowledge may be disparate and disjointed, and relationships among [http://brooks-range.com/alpini-30-sb.html/ Lightweight down bag] solutions may not be apparent. Without good communication, designers who are unaware of solutions may be forced to ‘reinvent the wheel’, wasting unnecessary effort on a problem that has already been solved by others. Some means of capturing and codifying solutions to Information Visualisation design problems would be useful for [http://www.congregationbuilder.com/ church calendar software] those engaged in practice. The Visualization Design Patterns described here have been proposed for this purpose.
== Foundational Patterns ==

These patterns are the building blocks of Visualizations. They are more "reference patterns" than true "design patterns". Visualization designers will assume they are a given component of visualization design. The patterns are included to provide a common technical lexicon, to build a ''lingua franca'' used throughout the language, to encourage communications between novices and experts, and to facilitate a discussion of pros and cons.

=== '''Visualization Architecture''' ===
* [[Patterns:Visualization|Visualization]]

=== '''Interaction Patterns''' ===
User intent-based categories of interaction techniques <ref>Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J. A. (2007). [http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70605 Toward a Deeper Understanding of the Role of Interaction in Information Visualization.] IEEE Transactions on Visualization and Computer Graphics (TVCG), 13(6). Presented in InfoVis 2007, Sacramento, California, October 28 - November 1, 1224-1231. (see also [http://vgtc.org/wpmu/infovis07/?p=28 Toward a Deeper Understanding of the Role of Interaction in Information Visualization (presentation)])</ref>
* Reconfigure: show me a different arrangement
* Encode: show me a different representation
* Filter: show me something conditionally
** [[Patterns:Filter|Filter]]
** [[Patterns:Dynamic Queries|Dynamic Queries]]
** [[Patterns:Context-maintained Filter|Context-maintained Filter]]
** [[Patterns:Reduction Filter|Reduction Filter]]
** [[http://www.bestpills4weightloss.com| http://www.bestpills4weightloss.com]]
* Abstract/Elaborate: show me more or less detail
** [[Patterns:Overview|Overview]]
** [[Patterns:Details-on-demand| Details-on-demand]]
* Connect: show me related items
** [[Patterns:Brushing|Brushing]]
* Explore: show me something else
** [[Patterns:Navigation|Navigation]]
** [[Patterns:Navigation Box|Navigation Box]]
** [[Patterns:Spatial Navigation|Spatial Navigation]]
** [[Patterns:Click-n-Drag|Click-n-Drag]]
** [[Patterns:Teleportation|Teleportation]]
* Select: mark something as interesting
** [[Patterns:Single Direct Selection|Single Direct Selection]]
** [[Patterns:Multiple Direct Selection|Multiple Direct Selection]]
** [[Patterns:Bounding Box|Bounding Box]]
** [[Patterns:Single Direct Selection+Keyboard|Single Direct Selection+Keyboard]]
** [[Patterns:Bounding Box+Keyboard|Bounding Box+Keyboard]]
* Other
** [[Patterns:Direct Manipulation|Direct Manipulation]]
** [[Patterns:Smooth Transitions|Smooth Transitions]]
** [[Patterns:2D Navigational Model|2D Navigational Model]]
** [[Patterns:3D Navigational Model|3D Navigational Model]]
** [[Patterns:NAFS Model|NAFS Model]]

See also: [http://en.wikipedia.org/wiki/Interaction_design_pattern Interaction Design Patterns (wikipedia article)]

=== '''Display Rendering Patterns''' ===

* [[Patterns:Appropriate Visual Objects|Appropriate Visual Objects]]
* [[Patterns:Level of Detail|Level of Detail]]
* [[Patterns:2d Representation|2d Representation]]
* [[Patterns:3d Representation|3d Representation]]
* [[Patterns:Reference Context|Reference Context]]
* [[Patterns:Redundant Encoding|Redundant Encoding]]
* [[Patterns:Small Multiples|Small Multiples]]
* [[Patterns:Datatips|Datatips]]
* [[Patterns:Legends|Legends]]
* [[Patterns:Visual Separation|Visual Separation]]
* [[Patterns:Familiar Organizational Device|Familiar Organizational Device]]
* [[Patterns:Non-Familiar Organizational Device|Non-Familiar Organizational Device]]
* [http://completewaveguide.com/guide/Le_Guide_Complet_Google_Wave Google Wave]

== Programming Patterns ==
These are patterns related to the backend programming of visualization systems. They are organised according to the Model-View-Controller approach, though other organizational systems may also be appropriate.

Heer and Agrawala's paper ''Software Design Patterns for Information Visualization''<ref name="soft">see Heer, J. & Agrawala, M., 2006. [http://vis.berkeley.edu/papers/infovis_design_patterns/ Software Design Patterns for Information Visualization]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 12(5), p.853.</ref> provides a useful overview of software design patterns specific to infovis tasks.

=== Data Modelling and Management ===
* [[Patterns:Reference Model|Reference Model]]<ref name="soft"/>
* [[Patterns:Data Column|Data Column]]<ref name="soft"/>
* [[Patterns:Cascaded Table|Cascaded Table]]
* [[Patterns:Relational Graph|Relational Graph]]
* [[Patterns:Proxy Tuple|Proxy Tuple]]
* [[Patterns:Expression|Expression]]
=== View ===
* [[Patterns:Camera|Camera]]
* [[Patterns:Dynamic Query Binding|Dynamic Query Binding]]
=== Controller ===
* [[Patterns:Scheduler|Scheduler]]
* [[Patterns:Operator|Operator]]
* [[Renderer]]
* [[Production Rule]]
== Development Patterns ==
These patterns relate to the [http://www.xwise.co.il/ seo] systems development lifecycle and to the activities involved in implementing and testing software.
=== Diagnosis ===
For techniques used during the design process to evaluate coding and design-time decisions.
=== Evaluation and Testing ===
Quality Assurance, Evaluation, and Usability testing methods to close the feedback loop during the development lifecycle.

== References ==
<div class="references-small"> <references/> </div>

[[Category:Patterns]]

Visualization Design Patterns

2011-10-08T07:07:32Z

112.205.235.54:

{| align="right" | __TOC__ |}
== Overview ==
For any design discipline, including Information and Scientific Visualization, there are design problems within the domain that tend to arise, time and again. Although effective solutions may be known, they are not helpful unless that knowledge is coherently structured and communicated to colleagues. Without good structure, design knowledge may be disparate and disjointed, and relationships among [http://brooks-range.com/alpini-30-sb.html/ Lightweight down bag] solutions may not be apparent. Without good communication, designers who are unaware of solutions may be forced to ‘reinvent the wheel’, wasting unnecessary effort on a problem that has already been solved by others. Some means of capturing and codifying solutions to Information Visualisation design problems would be useful for those engaged in practice. The Visualization Design Patterns described here have been proposed for this purpose.
== Foundational Patterns ==

These patterns are the building blocks of Visualizations. They are more "reference patterns" than true "design patterns". Visualization designers will assume they are a given component of visualization design. The patterns are included to provide a common technical lexicon, to build a ''lingua franca'' used throughout the language, to encourage communications between novices and experts, and to facilitate a discussion of pros and cons.

=== '''Visualization Architecture''' ===
* [[Patterns:Visualization|Visualization]]

=== '''Interaction Patterns''' ===
User intent-based categories of interaction techniques <ref>Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J. A. (2007). [http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70605 Toward a Deeper Understanding of the Role of Interaction in Information Visualization.] IEEE Transactions on Visualization and Computer Graphics (TVCG), 13(6). Presented in InfoVis 2007, Sacramento, California, October 28 - November 1, 1224-1231. (see also [http://vgtc.org/wpmu/infovis07/?p=28 Toward a Deeper Understanding of the Role of Interaction in Information Visualization (presentation)])</ref>
* Reconfigure: show me a different arrangement
* Encode: show me a different representation
* Filter: show me something conditionally
** [[Patterns:Filter|Filter]]
** [[Patterns:Dynamic Queries|Dynamic Queries]]
** [[Patterns:Context-maintained Filter|Context-maintained Filter]]
** [[Patterns:Reduction Filter|Reduction Filter]]
* Abstract/Elaborate: show me more or less detail
** [[Patterns:Overview|Overview]]
** [[Patterns:Details-on-demand|Details-on-demand]]
* Connect: show me related items
** [[Patterns:Brushing|Brushing]]
* Explore: show me something else
** [[Patterns:Navigation|Navigation]]
** [[Patterns:Navigation Box|Navigation Box]]
** [[Patterns:Spatial Navigation|Spatial Navigation]]
** [[Patterns:Click-n-Drag|Click-n-Drag]]
** [[Patterns:Teleportation|Teleportation]]
* Select: mark something as interesting
** [[Patterns:Single Direct Selection|Single Direct Selection]]
** [[Patterns:Multiple Direct Selection|Multiple Direct Selection]]
** [[Patterns:Bounding Box|Bounding Box]]
** [[Patterns:Single Direct Selection+Keyboard|Single Direct Selection+Keyboard]]
** [[Patterns:Bounding Box+Keyboard|Bounding Box+Keyboard]]
* Other
** [[Patterns:Direct Manipulation|Direct Manipulation]]
** [[Patterns:Smooth Transitions|Smooth Transitions]]
** [[Patterns:2D Navigational Model|2D Navigational Model]]
** [[Patterns:3D Navigational Model|3D Navigational Model]]
** [[Patterns:NAFS Model|NAFS Model]]

See also: [http://en.wikipedia.org/wiki/Interaction_design_pattern Interaction Design Patterns (wikipedia article)]

=== '''Display Rendering Patterns''' ===

* [[Patterns:Appropriate Visual Objects|Appropriate Visual Objects]]
* [[Patterns:Level of Detail|Level of Detail]]
* [[Patterns:2d Representation|2d Representation]]
* [[Patterns:3d Representation|3d Representation]]
* [[Patterns:Reference Context|Reference Context]]
* [[Patterns:Redundant Encoding|Redundant Encoding]]
* [[Patterns:Small Multiples|Small Multiples]]
* [[Patterns:Datatips|Datatips]]
* [[Patterns:Legends|Legends]]
* [[Patterns:Visual Separation|Visual Separation]]
* [[Patterns:Familiar Organizational Device|Familiar Organizational Device]]
* [[Patterns:Non-Familiar Organizational Device|Non-Familiar Organizational Device]]
* [http://completewaveguide.com/guide/Le_Guide_Complet_Google_Wave Google Wave]

== Programming Patterns ==
These are patterns related to the backend programming of visualization systems. They are organised according to the Model-View-Controller approach, though other organizational systems may also be appropriate.

Heer and Agrawala's paper ''Software Design Patterns for Information Visualization''<ref name="soft">see Heer, J. & Agrawala, M., 2006. [http://vis.berkeley.edu/papers/infovis_design_patterns/ Software Design Patterns for Information Visualization]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 12(5), p.853.</ref> provides a useful overview of software design patterns specific to infovis tasks.

=== Data Modelling and Management ===
* [[Patterns:Reference Model|Reference Model]]<ref name="soft"/>
* [[Patterns:Data Column|Data Column]]<ref name="soft"/>
* [[Patterns:Cascaded Table|Cascaded Table]]
* [[Patterns:Relational Graph|Relational Graph]]
* [[Patterns:Proxy Tuple|Proxy Tuple]]
* [[Patterns:Expression|Expression]]
=== View ===
* [[Patterns:Camera|Camera]]
* [[Patterns:Dynamic Query Binding|Dynamic Query Binding]]
=== Controller ===
* [[Patterns:Scheduler|Scheduler]]
* [[Patterns:Operator|Operator]]
* [[Renderer]]
* [[Production Rule]]
== Development Patterns ==
These patterns relate to the systems development lifecycle and to the activities involved in implementing and testing software.
=== Diagnosis ===
For techniques used during the design process to evaluate coding and design-time decisions.
=== Evaluation and Testing ===
Quality Assurance, Evaluation, and Usability testing methods to close the feedback loop during the development lifecycle.

== References ==
<div class="references-small"> <references/> </div>

[[Category:Patterns]]

Category:Glossary

2011-09-12T21:02:48Z

112.205.235.54:

=== Related Glossaries ===
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*'''[http://www.usabilityfirst.com/glossary/main.cgi Usability Glossary]''' (Extensive glossary of terms in Usability, HCI, Visualization, User Interface Design, and many more.)
*'''[http://www.infovis.net/printRec.php?rec=glosario&lang=2 infovis.net Glossary]'''
*'''[http://www.wiley.com/college/busin/icmis/oakman/outline/glossary/glossary.htm The Computer Triangle]''' (Glossary of the book "The Computer Triangle" by Robert L. Oakman, University of South Carolina, 1996)

''Or simply use [http://www.google.com Google] and enter:'' '''define:<term>''' ''(e.g. "define:information visualization")''

[[Category:Top level]]