num_pages: 323
description: An introductory text for the next generation of geospatial analysts and data scientists Spatial 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 analysiscontaining hands-on problem-sets that can be worked out in MS Excel or ArcGISas well as detailed illustrations and numerous case studies.The book enables readers Spatial Statistics Visualization and Computational Methods incorporates traditional statistical methods spatial statistics visualization and computational methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Topics covered spatial descriptive methods hypothesis testing spatial regression hot spot analysis geostatistics spatial modeling and data science.
language: English
title: Spatial Analysis: Statistics, Visualization, and Computational Methods
publisher: CRC Press