In this chapter, two linear regression tools were used to model the relationships between various demographic, socio-economic, and geographic factors and the incidence of burglary in Denver County, CO. Using the OLS tool, a combination of variables were identified as the best model for understanding burglary in this context. The model was then improved using the Geographically Weighted Regression tool, which introduced spatial variability into the model. Finally, the Exploratory Regression tool was used to quickly identify combinations of variables that best fit a model. In the next chapter, we'll examine a variety of data conversion tools found in the Utilities toolset. These tools are often used in conjunction with other tools found in the Spatial Statistics Tools toolbox.
Spatial Analytics with ArcGIS
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Spatial Analytics with ArcGIS
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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.
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Current Title:
Spatial Analytics with ArcGIS
Table of Contents (16 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Free Chapter
Introduction to Spatial Statistics in ArcGIS and R
Measuring Geographic Distributions with ArcGIS Tools
Analyzing Patterns with ArcGIS Tools
Mapping Clusters with ArcGIS Tools
Modeling Spatial Relationships with ArcGIS Tools
Working with the Utilities Toolset
Introduction to the R Programming Language
Creating Custom ArcGIS Tools with ArcGIS Bridge and R
Application of Spatial Statistics to Crime Analysis
Application of Spatial Statistics to Real Estate Analysis
Customer Reviews