Information Visualization - Revision history

128.243.21.224: Removing spam links

2013-08-15T10:01:21Z

Removing spam links

Bownisesdavid at 08:33, 15 May 2013

2013-05-15T08:33:34Z

← Older revision		Revision as of 08:33, 15 May 2013
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	{{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\|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.<br>Information visualization is a complex research area. It builds on theory in [[information design]], ~~[http://afreepokers.co.uk/ free online poker]~~ computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>		{{Quotation\|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition.<br>Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>
	Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.\|[Wikipedia, 2005]}}		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, [http://afreepokers.co.uk/ free online poker] 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\|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, [http://afreepokers.co.uk/ free online poker] 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]}}

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← Older revision		Revision as of 08:33, 15 May 2013
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	{{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\|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.<br>Information visualization is a complex research area. It builds on theory in [[information design]], ~~[http://afreepokers.co.uk/ free online poker]~~ computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>		{{Quotation\|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition.<br>Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>
	Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.\|[Wikipedia, 2005]}}		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, [http://afreepokers.co.uk/ free online poker] 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\|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, [http://afreepokers.co.uk/ free online poker] 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]}}

← Older revision		Revision as of 10:01, 15 August 2013
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	{{Quotation\|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].\|~~[http://playpokergameonline.co.uk/ play free poker games]~~ [Card et al., 1999]}}		{{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 utilizes computer graphics and [[interaction]] to assist humans in solving problems.\|[Purchase et al., 2008, p. 58]}}

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	{{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\|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]}}~~[http://gambling-commission.co.uk washington gambling commission]~~		{{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\|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, ~~[http://arussianroulette.co.uk/ russian roulette chat]~~ and high-dimensional data.\|[Chen, 2005]}}		{{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\|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]}}
Line 37:		Line 37:
	{{Quotation\|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition.<br>Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>		{{Quotation\|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition.<br>Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>
	Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.\|[Wikipedia, 2005]}}		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, ~~[http://afreepokers.co.uk/ free online poker]~~ 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\|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.<br><br>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.<br><br>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].<br><br>Information visualization is visualization of [[abstract data]]. This is data that has no inherent mapping to space. ~~[http://askypoker.co.uk/ sky bet],~~ 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.<br><br>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.<br><br>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.<br><br>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\|'''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.<br><br>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.<br><br>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].<br><br>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.<br><br>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.<br><br>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.<br><br>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\|involves abstract, nonspatial data\|[Tory and M?ller, 2004]}}

← Older revision		Revision as of 08:29, 15 May 2013
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	{{Quotation\|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].\|[Card et al., 1999]}}		{{Quotation\|The use of computer-supported, interactive, visual representations of [[abstract data]] to amplify [[cognition]].\|[http://playpokergameonline.co.uk/ play free poker games] [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 utilizes computer graphics and [[interaction]] to assist humans in solving problems.\|[Purchase et al., 2008, p. 58]}}

Line 27:		Line 27:
	{{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\|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 visualizations attempt to efficiently map data variables onto visual dimensions in order to create graphic representations.\|[Gee et al., 2005]}}[http://gambling-commission.co.uk washington gambling commission]

	{{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\|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\|Visual representations of the semantics, or meaning, of information. In contrast to [[Scientific Visualization\|scientific visualization]], information visualization typically deals with nonnumeric, nonspatial, [http://arussianroulette.co.uk/ russian roulette chat] 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\|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.<br>Information visualization is a complex research area. It builds on theory in [[information design]], computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>		{{Quotation\|As a subject in computer science, information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition.<br>Information visualization is a complex research area. It builds on theory in [[information design]], [http://afreepokers.co.uk/ free online poker] computer graphics, human-computer interaction and cognitive science.<br>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.<br>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.<br>
	Although much work in information visualization regards to visual forms, auditory and other sensory representations are also of concern.\|[Wikipedia, 2005]}}		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\|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, [http://afreepokers.co.uk/ free online poker] 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.<br><br>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.<br><br>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].<br><br>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.<br><br>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.<br><br>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.<br><br>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\|'''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.<br><br>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.<br><br>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].<br><br>Information visualization is visualization of [[abstract data]]. This is data that has no inherent mapping to space. [http://askypoker.co.uk/ sky bet], 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.<br><br>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.<br><br>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.<br><br>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\|involves abstract, nonspatial data\|[Tory and M?ller, 2004]}}