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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 2. Measuring Geographic Distributions with ArcGIS Tools FREE CHAPTER 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

The basics of Regression Analysis

Up until this section of the course, we examined tools that help us answer the where questions. Where are crimes occurring? Where do wildfires cluster? Where are the hot spots for real estate sales? However, you may have noticed that these tools don't help determine the why questions. The regression tools found in the Modeling Spatial Relationships toolset help with the logical progression of obtaining a deeper understanding of our problem. Tools such as Ordinary Least Squares and Exploratory Regression help us determine the variables that explain why an observed pattern is present. These explanatory variables can lead to the development of models that can predict the occurrence of these patterns in other places.

Why use Regression Analysis?

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