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Spatial Analysis: Statistics, Visualization, and Computational Methods / Tonny J. Oyana, Florence Margai | |
Publisher: CRC Press | |
Availability:Usually ships in 24 hours | |
Sales Rank: 1918271 | |
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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 well as detailed illustrations and numerous case studies.
The book enables readers to:
Spatial Analysis: 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 include: spatial descriptive methods, hypothesis testing, spatial regression, hot spot analysis, geostatistics, spatial modeling, and data science.