Book Image

Spatial Analytics with ArcGIS

By : Eric Pimpler
Book Image

Spatial Analytics with ArcGIS

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 (16 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback


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.