Eric Pimpler - Spatial Analytics with ArcGIS

BIRMINGHAM - MUMBAI

Copyright 2017 Packt Publishing

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First published: April 2017

Production reference: 1200417

ISBN 978-1-78712-258-1

www.packtpub.com

Eric Pimpler is the founder and owner of GeoSpatial Training Services (geospatialtraining.com) and has over 20 years of, experience implementing and teaching GIS solutions using open source technology, ESRI and Google Earth/Maps. Currently, he focuses on ArcGIS scripting with Python and the development of custom ArcGIS Server web and mobile applications using JavaScript.

Eric has a bachelors degree in geography from Texas A&M University and a master's degree in applied geography with a concentration in GIS from Texas State University.

Eric is the author of Programming ArcGIS with Python Cookbook (https://www.packtpub.com/application-development/programming-arcgis-python-cookbook-second-edition), first and second edition, Building Web (https://www.packtpub.com/application-development/building-web-and-mobile-arcgis-server-applications-javascript) and Mobile ArcGIS Server Applications with JavaScript, and ArcGIS Blueprints (https://www.packtpub.com/application-development/arcgis-blueprints), all by Packt Publishing.

Ken Doman is a senior frontend engineer at GEO Jobe, a software development company and ESRI business partner that helps public sector organizations and private sector businesses get the most out of geospatial solutions. Ken has worked with web and geospatial solutions for local and county government, and private industry for over 9 years.

Ken is the author of Mastering ArcGIS Server Development with JavaScript. He has also reviewed several books for Packt Publishing, including Building Web and Mobile ArcGIS Server Applications with JavaScript by Eric Pimpler and ArcGIS for Desktop Cookbook by Daniela Christiana Docan.

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The Spatial Statistics toolbox in ArcGIS contains a set of tools for analyzing spatial distributions, patterns, processes, and relationships. While similar to traditional statistics, spatial statistics are a unique set of analyses that incorporate geography. These tools can be used with all license levels of ArcGIS Desktop and are a unique way of exploring the spatial relationships inherent in your data. In addition to using ArcBridge, the R programming language can now be used with ArcGIS Desktop to provide customized statistical analysis and tools.

Spatial Analytics in ArcGIS begins with an introduction to the field of spatial statistics. After this brief introduction ,well examine increasingly complex spatial statistics tools. Well start by covering the tools found in the Measuring Geographic Distributions toolset, which provide descriptive spatial statistical information. Next, the Analyzing Patterns toolset will teach the reader how to evaluate datasets for clustering, dispersion, or random patterns. As we move on, you will also be introduced to much more advanced and interesting spatial statistical analysis, including hot spot analysis, similarity search, and least squares regression among others.