Visualizing geospatial data
Theresa Marie Rhyne, Alan M. MacEachren
Abstract
Theresa Marie Rhyne, Alan M. MacEachren
Abstract
This course reviews concepts and highlights new directions in GeoVisualization. We review four levels of integrating geospatial data and geographic information systems (GIS) with scientific and information visualization (VIS) methods. These include:• Rudimentary: minimal data sharing between the GIS and Vis systems• Operational: consistency of geospatial data• Functional: transparent communication between the GIS and Vis systems• Merged: one comprehensive toolkit environmentWe review how to apply both information and scientific visualization fundamentals to the visual display of geospatial and geoinformatics data. Distributed GeoVisualization systems that allow for collaborative synchronous and asynchronous visual exploration and analysis of geospatial data via the Web, Internet, and large-screen group-enabled displays are discussed. This includes the application of intelligent agent and spatial data mining technologies. Case study examples are shown in real time during the course.
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This course reviews concepts and highlights new directions in GeoVisualization. We review four levels of integrating geospatial data and geographic information systems (GIS) with scientific and information visualization (VIS) methods. These include:• Rudimentary: minimal data sharing between the GIS and Vis systems• Operational: consistency of geospatial data• Functional: transparent communication between the GIS and Vis systems• Merged: one comprehensive toolkit environmentWe review how to apply both information and scientific visualization fundamentals to the visual display of geospatial and geoinformatics data. Distributed GeoVisualization systems that allow for collaborative synchronous and asynchronous visual exploration and analysis of geospatial data via the Web, Internet, and large-screen group-enabled displays are discussed. This includes the application of intelligent agent and spatial data mining technologies. Case study examples are shown in real time during the course.
Key concepts: Geospatial analysis, Geovisualization, Geoinformatics, Computer science, Geographic information system, Data science, Geospatial PDF, Visualization