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Practical Spatial Statistics is designed as an introductory text for entry-level programmers utilizing statistics and spatial analysis for GIS. The book presents fundamental statistics and GIS theories and concepts. It elaborates on how to conceptualize spatial problems, organize spatial dataset and build analysis framework. The core of the book demonstrates essential spatial statistics techniques from basic spatial data analysis to point pattern analysis and spatial modeling, such as hot-spots analysis and Geographically Weighted Regression (GWR). In addition to easy-to-understand metaphors and lessons, the book provides easily accessible exercises to assist with retention.
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Practical Spatial Statistics is designed as an introductory text for entry-level programmers utilizing statistics and spatial analysis for GIS. The book presents fundamental statistics and GIS theories and concepts. It elaborates on how to conceptualize spatial problems, organize spatial dataset and build analysis framework. The core of the book demonstrates essential spatial statistics techniques from basic spatial data analysis to point pattern analysis and spatial modeling, such as hot-spots analysis and Geographically Weighted Regression (GWR). In addition to easy-to-understand metaphors and lessons, the book provides easily accessible exercises to assist with retention.