Spatial analysis : statistics, visualization, and computational methods

"An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis--containing hands-on problem-set that can be worked out in MS Excel or ArcGIS--as well as detailed illustrations and numerous case studies"--Back cover. An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis-containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS-as Content: The context and relevance of spatial analysis -- Scientific observations and measurements in spatial analysis -- Using statistical measures to analyze data distributions -- Exploratory data analysis, visualization, and hypothesis testing -- Analyzing spatial statistical relationships -- Engaging in point pattern analysis -- Engaging in areal pattern analysis using global and local statistics -- Engaging in geostatistical analysis -- Data science : understanding computing systems and analytics for big data.