Geovisual analytics includes statistical and other computational techniques (e.g. generalization and clusterization) to discover spatio-temporal patterns in data, and visualization tools such as maps, charts, and animations to illustrate computed data patterns and lead to formulating hypotheses about new data patterns. Visualization and interactive visual interfaces are of primary importance, as they can effectively guide human analysis and reasoning. At the same time, the size and complexity of real-life problems necessitate the use of computational techniques. Geovisual analytics strives to achieve a synergy of human and computer in solving spatial problems.
Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M-J., MacEachren, A., and S. Wrobel. 2007. Geovisual Analytics for Spatial Decision Support: Setting the Research Agenda. International Journal of Geographical Information Systems, 21(8): 839-857
Alternative Generation
Scenario Simulation And Comparison
Visualization
LANDFIRE
Marine Geospatial Ecology Tools (MGET)
Marine Reserve And Local Fisheries Interactive Simulation
Toronto Quality Of Life
Visual Analytics Methods
8/24/2008
Graphical Ontology Browser
- Click on a node to jump to the content of that node
- Pan to see the rest of the graph
- Scroll the mousewheel up and down to zoom in and out
- Rearrange the nodes in the graph by dragging a node to a different position