GIS, Spatial Analysis, and Modeling
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.
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GIS and Modeling Overview i
Towards a GIS Platform for Spatial Analysis and Modeling
Spatial Representation and Temporal
ABM/LUCC agent-based modeling agents algorithms analysis and modeling Anselin applications approach Arc Hydro ArcGIS areas Batty behavior case-based reasoning cell cellular automata chapter complex data model database decision described dynamic modeling environment environmental epidemic ESRI evaluation example Figure framework functions geodatabase geographic information systems geoprocessing geostatistical GIS software Goodchild graphical grid habitat hydrologic models impact implemented individual input integration interface land land-use transportation models landscape layers microsimulation modeling systems modules objects operations optimization output packages parameters patterns PCRaster planners population predictions problem processes raster region regression representation represented require retail scenarios simulation model solutions space spatial analysis spatial data analysis spatial models spatial statistical structure submodels temporal tiger tion transition potential uncertainty urban development urban growth urban growth boundary urban land-use transportation urban planning UrbanSim values variables visualization workplace