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
actions activities agents allows analysis applications approach ArcGIS areas associated attributes behavior building calculation cell chapter cities combination complex create decision defined described direction discussed distribution dynamic effect environment environmental estimation evaluation example existing Figure flow framework functions geographic information growth illustrate impact implemented important indices individual information systems input integration interaction interface land land-use landscape measure methods movement objects operations optimization output packages patterns performance planning population possible potential predictions presented probability problem processes range raster region relationship representation represented require retail scale Science shows similar simple simulation solutions space spatial spatial analysis specific statistical step structure Table tiger tion transportation models uncertainty University urban variables various visualization