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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

4 (1)
By: Eric Pimpler

Overview of this book

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 (11 chapters)
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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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