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Spatial Analytics with ArcGIS

You're reading from   Spatial Analytics with ArcGIS Build powerful insights with spatial analytics

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787122581
Length 290 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Eric Pimpler Eric Pimpler
Author Profile Icon Eric Pimpler
Eric Pimpler
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Spatial Statistics in ArcGIS and R FREE CHAPTER 2. Measuring Geographic Distributions with ArcGIS Tools 3. Analyzing Patterns with ArcGIS Tools 4. Mapping Clusters with ArcGIS Tools 5. Modeling Spatial Relationships with ArcGIS Tools 6. Working with the Utilities Toolset 7. Introduction to the R Programming Language 8. Creating Custom ArcGIS Tools with ArcGIS Bridge and R 9. Application of Spatial Statistics to Crime Analysis 10. Application of Spatial Statistics to Real Estate Analysis

Using the Exploratory Regression tool

The Exploratory Regression tool can be used to evaluate combinations of exploratory variables for OLS models that best explain the dependent variable. This data-mining tool does a lot of work for you in finding variables that are well suited. This tool can save you a lot of time. The results of this tool are written to the progress dialog, the Result window, and an optional report file. In this section, you will use the Exploratory Regression tool to analyze the variables attached to the Denver_Census_Tracts layer used in the OLS section of the course to identify combinations of variables that may be appropriate for a model of burglary incidents.

Running the Exploratory Regression tool

Let's learn how to run the Exploratory...

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