Analyze patterns, clusters, and spatial relationships using ArcGIS tools
Get up to speed in R programming to create custom tools for analysis
Sift through tons of crime and real estate data and analyze it using the tools built in the book

Book Description:

Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis.

The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples.

At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data.

What You Will Learn:

Get to know how to measure geographic distributions
Perform clustering analysis including hot spot and outlier analysis
Conduct data conversion tasks using the Utilities toolset
Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox
Get to grips with the basics of R for performing spatial statistical programming
Create custom ArcGIS tools with R and ArcGIS Bridge
Understand the application of Spatial Statistics tools and the R programming language through case studies

Who this book is for:

This book is for ArcGIS developers who want to perform complex geographic analysis through the use of spatial statistics tools including ArcGIS and R. No knowledge of R is assumed.

�ber die Autorin bzw. den Autor

Eric Pimpler is the founder and owner of GeoSpatial Training Services and has over 20 years of experience in implementing and teaching GIS solutions using Esri, Google Earth/Maps, and open source technology. Currently, he focuses on ArcGIS scripting with Python and the development of custom ArcGIS Server web and mobile applications using JavaScript. He is the author of Programming ArcGIS 10.1 with Python Cookbook. Eric has a bachelor's degree in geography from Texas A&M University and a master's degree in applied geography with a specification in GIS from Texas State University.

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