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Spatial analysis : statistics, visualization, and computational methods /

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자료유형E-Book
개인저자Oyana, Tonny J., author.
Margai, Florence M., author.
서명/저자사항Spatial analysis :statistics, visualization, and computational methods /Tonny J. Oyana and Florence M. Margai.
형태사항1 online resource (xviii, 305 pages) : illustrations (some color)
소장본 주기eBooks on EBSCOhostAll EBSCO eBooks
ISBN9781498707640
1498707645


서지주기Includes bibliographical references.
내용주기The 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.
요약An 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.
일반주제명Geographic information systems.
Spatial analysis (Statistics)
TECHNOLOGY & ENGINEERING -- Remote Sensing & Geographic Information Systems.
Geographic information systems.
Spatial analysis (Statistics)
언어영어
기타형태 저록Print version:Oyana, Tonny J.Spatial analysis.Boca Raton, Fla. : Taylor & Francis, [2016]9781498707633
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1045131

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