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Backed by the collective knowledge and experience of the world's leading Geographic Information Systems (GIS) company, the concepts and methods presented in this volume will allow... Read more
Backed by the collective knowledge and experience of the world's leading Geographic Information Systems (GIS) company, the concepts and methods presented in this volume will allow users to unleash the full analytic power of their GIS. The most commonly used spatial statistical tools are described in detail along with their applications in a range of disciplines, from crime analysis to habitat conservation. GIS users will learn how features are distributed, how to analyze the pattern created by the features, and how to determine the relationships between them. Four general statistical concepts are discussed, including testing statistical significance, defining spatial neighborhoods and weights, and using statistics with spatial data. Advice on determining which statistical tool to use in a given situation is also provided.
ESRI Guide to GIS Analysis,Vol 2 Paperback edition by Andy Mitchell
As the tools available through commercial GIS software have grown in sophistication, a need has emerged to instruct users on the best practices of true GIS analysis. Covering topics that range from identifying patterns and clusters to analyzing geographic relationships, this book is suitable for GIS users performing complex analysis.
Demonstrates how geographic analysis with GIS can identify patterns, relationships, and trends that lead to better decision making. This book focuses on the common geographic analysis tasks: mapping where things are, mapping the most and least, mapping density, finding what is inside, finding what is nearby, and mapping what has changed.
Describes practical applications of modelling concepts in a geographic information system (GIS). This book shows readers how they can explore spatial interaction, site selection, routing, and scheduling, and explains how to best interpret the results of the analysis.
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