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Book Cover
Author Oyana, Tonny J., author.

Title Spatial analysis : statistics, visualization, and computational methods / Tonny J. Oyana and Florence M. Margai
Published Boca Raton : CRC Press, Taylor & Francis Group, [2016]
Online access available from:
ProQuest Ebook Central Subscription    View Resource Record  


Description 1 online resource (xviii, 305 pages) : illustrations (some color)
Contents 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
Summary 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
Bibliography Includes bibliographical references
Notes Print version record
Subject Geographic information systems.
Spatial analysis (Statistics)
Geographic information systems.
Spatial analysis (Statistics)
TECHNOLOGY & ENGINEERING -- Remote Sensing & Geographic Information Systems.
Form Electronic book
Author Margai, Florence M., author.
ISBN 1498707645