August 16 - 20


Geovisualization & Spatial Analysis 

Within the workshop ¡°Geovisualization & Spatial Analysis¡± we will introduce the concept of Geovisualization (relating it to Visual Analytics) with its methods and examples from current research fields (anticipated from ecological network planning). We suggest that maps work as a thinking instrument that visually supports users to confirm known facts, detect unknowns and finally value-add the database either by inserting the new knowledge into it or removing the redundancy from it. For the part on Spatial Analysis we plan to have an introduction and perhaps a short tutorial on visual methods to detect patterns in geodata (anticipated to use the Geovista Studio ¨C Visual Data Mining software). Additionally our workshop includes an introduction to ¡°visual error detection¡±. The process of data capture and manipulation before it gets to the end user is a potential source of errors. Checking for housing e.g. center points or polygon objects that are within water area objects can solve detecting this problem. A visual method helps revealing wrongly geocoded data, where the conventional methods fail. Within a visual analysis environment, ¡°playing¡± with the input data, using available geovisualization tools may reveal a sudden pattern that makes the user stop and think, ¡°This cannot be!¡± The visual output (a map, curve, etc.) may lead the user to assume an error in the data at hand and lead to further investigations. Visualizing the error seems to be more effective way of communication than describing in long documentations. Furthermore we will think about ¡°new¡± methods and application fields for geovisualization methods. This part of the course will include a short text analysis and discussions.

Some interesting for further information (not compulsory)

Fuhrmann, S., Ahonen-Rainio, P., Edsall, R., Fabricant, S. I., Koua, E. L., Tolon, C., Ware, C. & Wilson, S. (2005) Making Useful and Useable Geovisualization: Design and Evaluation Issues. In Dykes, J., Maceachren, A. M. & Kraak, M. J. (Eds.) Geovisualization. Amsterdam, Elsevier.

Gahegan, M. (1999) Four barriers to the development of effective exploratory visualisation tools for the geosciences. Geographical Information Science, 13, 289-309.

Krisp J.M., Peters S., Murphy C.E., Fan H. (2009), Visual Bandwidth Selection for Kernel Density Maps, Photogrammetrie Fernerkundung Geoinformation, Vol. 5, p.441¨C450

Meng, L. (2003) Missing Theories and Methods in Digital Cartography. The 21st International Cartographic Conference (ICC). Durban, South Africa.