Geovisual Analytics

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.

Source Of Description

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

Used For Decision Process Phases/Steps

Alternative Generation

Scenario Simulation And Comparison

Visualization

Implemented By Tools

LANDFIRE

Marine Geospatial Ecology Tools (MGET)

Marine Reserve And Local Fisheries Interactive Simulation

Used In Case Studies

Toronto Quality Of Life

Parent Categories

Visual Analytics Methods

Last Updated

8/25/2008

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

References

IntroductionPlanning/Decision ContextPlanning And Spatial Decision ProcessSpatial Planning And Decision Problem TypesMethods And Techniques
methods and techniques; methodology
TechnologyData And Domain KnowledgePeople And ParticipationResources