GIS, Spatial Analysis, and ModelingESRI Press, 2005 - 480 pages A guide for geographic analysts, modelers, software engineers, and GIS professionals, this book discusses agent-based modeling, dynamic feedback and simulation modeling, as well as links between models and GIS software. This collection also presents a state-of-the-art understanding of applications based on environmental, atmospheric, hydrological, urban, social, health, and economic models. |
Contents
GIS and Modeling Overview | 1 |
Simulating Spatially Explicit Networks for Dispersion of Infectious | 12 |
Towards a GIS Platform for Spatial Analysis and Modeling | 19 |
Copyright | |
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Common terms and phrases
Actor agent-based modeling agents algorithms analysis and modeling Anselin applications approach ArcGIS areas Batty behavior case-based reasoning cell cellular automata chapter complex data model database decision defined dynamic modeling ESRI estimation example Figure Foreign key framework functions geodatabase geographic information systems geoprocessing geostatistical GIS software Goodchild Gotway graphical grid habitat hydrologic impact implemented individual input integration interaction interface Kaza land land-cover land-use transportation models landscape layers microsimulation modeling systems modules objects operations optimization output packages parameters patterns PCRaster population predictions problem processes raster region Relationship class representation represented require retail Scale scenarios simulation model space spatial analysis spatial data analysis spatial models spatial regression spatial statistical specific structure submodels Table tiger tion transition potential uncertainty urban development urban growth urban growth boundary urban land-use transportation urban models UrbanSim variables visualization