Spatial Analytics with ArcGIS

Use the spatial statistics tools provided by ArcGIS and build your own to perform complex geographic analysis

Access cutting-edge content as it's created

Want access to this book right now? Read as we develop it as part of our Early Access program. Click here to find out more about Early Access.

Spatial Analytics with ArcGIS

Learning
Eric Pimpler

Use the spatial statistics tools provided by ArcGIS and build your own to perform complex geographic analysis

Access cutting-edge content as it's created

Want access to this book right now? Read as we develop it as part of our Early Access program. Click here to find out more about Early Access.

$35.99
$44.99
RRP $35.99
RRP $44.99
Early Access eBook
Pre-Order Print

Instantly access this course right now and get the skills you need in 2017

With unlimited access to a constantly growing library of over 4,000 eBooks and Videos, a subscription to Mapt gives you everything you need to learn new skills. Cancel anytime.

Code Files

Book Details

ISBN 139781787122581
Paperback294 pages

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.

Table of Contents

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
  • Create custom ArcGIS tools with R and ArcGIS Bridge
  • Understand the application of Spatial Statistics tools and the R programming language through case studies

Authors

Table of Contents

Book Details

ISBN 139781787122581
Paperback294 pages
Read More

Read More Reviews