| TNM048 | Information Visualisation , 6 ECTS credits. /Informationsvisualisering/ |
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Prel. scheduled
hours: 30 |
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Area of Education: Technology Subject area: Media Engineering |
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| Advancement level
(A-D): D
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| Aim: The course integrates perspectives from multiple fields, including information visualization, visual data mining, exploratory data analysis, geo-visualization (GeoViz) and GIS. Information visualisation (InfViz) is a relatively new discipline but already indispensable as a provider of tools for accessing and managing large (and rapidly growing) information spaces such as the Web and (distributed) corporate databases. Visual data mining and visual knowledge discovery seem to emerge and establish themselves as sub-disciplines. InfViz research has a strong bearing on current and future human-computer interfaces. InfViz is about presenting abstract data in visual form to make it more understandable - to amplify cognition. The purpose can be the presentation of the data to others or the use of the visualization methods to study the data and to aid decision-making. GeoViz is closely linked to InfViz and supports multivariate clustering tools integrated with exploratory spatial data analysis environment for discovering patterns in large and high-dimensional data, e.g., various census data, public health datasets. The course will also give insight into common GIS methods. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) basic experience with C or C# Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The course includes seminars, laboratories and project group assignments |
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| Course contents: Information Visualization (InfViz) is a rather new research topic and can be described as the use of computer-supported interactive visual representations of abstract data to amplify cognition. Whereas scientific visualization usually starts with a natural physical representation, InfViz applies visual processing to abstract information. This area arises because of trends in technology and information scale. Technically, there has been great progress in high-performance, affordable computer graphics. At the same time, there has been a rapid expansion in on-line information, creating a need for computer-aid in finding and understanding them. InfViz is a form of external cognition, using resources in the world outside the mind to amplify what the mind can do. Progress in InfViz has occurred along three significant dimensions. First, the original ideas have matured. InfViz captures the themes from early work by extending SciViz โ?" which focus on 3D scientific data โ?" toward understanding non-spatial, higher-dimension data. Second, the research focus has grown beyond visualization to include data mining and analytics as integrated components of the knowledge discovery process. Third, the applications have grown in number, depth, significance, and sophistication. In the course, you will gain insight and practise into the following InfViz techniques: ยท Dynamic 3-D / multi-dimensional presentation and graphic representation of information spaces and complex data sets, especially for Web navigation and database access ยท Interactive and highly intuitive visual styles for direct manipulation of multivariate data ยท To manage large-scale and complex multimedia data sets ยท Visualization in the Knowledge Discovery Process ยท Interpretation of Quantitative Data โ?" Dimensionality ยท Using 1D, 2D, 3D, >3D spaces for representing information ยท Focus + context ยท Dynamically linked views ยท Trees and Networks ยท Parallel coordinate plot and its use ยท Representation - Symbolic encoding ยท Connectivity ยท Collaborative environments for visualization and knowledge management ยท What can visualization do for Data Mining ยท Using InfViz with spatial data and GIS The course will also address the closely linked field GeoViz. GeoViz is a process that meets scientific and societal needs by providing visual methods and tools to support a wide array of geospatial data applications including real-world knowledge construction and decision-making. Specific examples of geospatially-referenced data include ยท Meteorological measurements ยท Telephone and credit card transaction information (with both purchase and billing addresses ยท Stream gauge readings ยท Transportation records (linked to intersections, highway segments, and ticket offices ยท Tax and property records, and census enumerations (for population, agriculture, housing, manufacturing The course will give insight into some of the following GeoViz techniques: 1. Dynamic linking of maps and other graphical displays - Simultaneous highlighting of corresponding objects; - Dynamic query; - Propagation of classes. 2. Data analysis in space and time - Map animation; analytical interactive tools for animated maps; - Time plots and their transformations; - Space-time cube |
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| Course literature: The course litterature will be available on the web page |
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| Examination: | |||
| Laboratory work Group project assignment Written test |
1 p 2 p 1 p |
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Course language is English. Department offering the course: ITN. Director of Studies: Björn Gudmundsson Examiner: Mikael Jern Link to the course homepage at the department Course Syllabus in Swedish |
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