Data Visualization (I) (ILV)Back
|Semester of degree program||Semester 2|
|Mode of delivery||Presence- and Telecourse|
|Language of instruction||English|
Understand how visualization is defined, differentiate between the different ways in which the term visualization is used.
Identify the characteristics of visualization as a process, and relate these characteristics to modern day mapping systems and map use. Identify appropriate data visualization techniques given particular requirements imposed by the data.
Apply appropriate design principles in the creation of presentations and visualizations for spatio-temporal and non-spatio-temporal data.
Ability to successful working with visualization environments for spatial and non-spatial data: select appropriate forms or representations and tools depending on data and purpose.
Ability to analyze and discuss data visualizations.
The course deals with the theory and foundations of visual and cartographic communication (maps). Definition and differences between information visualization, scientific visualization, temporal visualization, cartography and geovisualization.
Definition and differences between non-numerical, numerical, spatial and temporal data. Design principles for 1-D, 2-D, 2.5-D, 3-D and multi dimensional data. Design principles for charts, graphs, networks, thematic and topographic maps. Examples for application in various subject areas will be presented.
Data visualization principles
- Cartographic design incl. map elements, visual variables (position, size, shape, color, value, orientation, pattern), map symbols and map annotation
- Types of maps
- Map design and map layout
Lecture script as provided in the course (required)
Edward R. Tufte, ,The Visual Display of Quantitative Information (2nd edition), Graphics Press, 2001, ISBN-13: 978-0961392147
T.A. Slocum, R.B. McMaster, F.C. Kessler and H.H. Howard, Thematic Cartography and Geovisualization (3rd edition), Prentice Hall Series in Geographic Information Science, 2005.
Andy Kirk, Data Visualisation: A Handbook for Data Driven Design, SAGE Publications Ltd; Auflage: 2nd edition, 2019, ISBN-13: 978-1526468925
Kieran Healy, Data Visualization, Princeton University Press, 2008, ISBN-13: 978-0691181615
Ken Cherven, Mastering Gephi Network Visualization, Packt Publishing, 2015, ISBN-13: 978-1783987344
Gerald Benoit, Introduction to Information Visualization: Transforming Data into Meaningful Information, Rowman & Littlefield, 2019, ISBN-13: 978-1538118344
D. Stone, C. Jarrett and M. Woodroffe, User Interface Design and Evaluation, Morgan Kaufman, 2005, ISBN-13: 978-0120884360
Integrated course - teaching & discussion, demonstration, practical examples, guest lectures by specialists, project work and presentations
Immanent examination character: presentation, assignment reports