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02h0084718 20160603150936.0 160601s2016 fluab frb |001|||eng | 9781498707633(hardback) : CNY648.00 DLC eng rda DLC YDX ; BTCTA ; YDXCP ; KSU ; OCLCF ; OI@ ; OCLCQ ; CDX ; STF ; W2U ; CNNGL pcc G70.212 .O98 2016 910.285 23 a819.1 aP208 v5 Oyana, Tonny J. Spatial analysis : statistics, visualization, and computational methods / Tonny J. Oyana, Florence M. Margai. Boca Raton, Fla. : Taylor & Francis, c2016. aBoca Raton, Fla. : bTaylor & Francis, c[2016] xviii, 305 pages : illustrations (some color), color maps ; 24 cm atext btxt 2rdacontent aunmediated bn 2rdamedia avolume bnc 2rdacarrier Includes bibliographical references and index. 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. "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. Geographic information systems. ; Spatial analysis (Statistics) aMargai, Florence M. aCN b010001 010001 819.1 Oy1 gljx1605 h1 ; rCNY648.00