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


The tools found in the Mapping Clusters toolset are among the most valuable and frequently used tools in the Spatial Statistics Tools toolbox. The Hot Spot Analysis, Optimized Hot Spot Analysis, and Cluster and Outlier Analysis tools are used to create visualizations of hot and cold spots as well as features that can be defined as outliers from the common pattern in a dataset. The Similarity Search tool is used to find features that are either similar or dissimilar to an input feature, and the Grouping Analysis tools is used to group features that are most alike. All of these tools are valuable to many types of cluster analysis across many disciplines. In the next chapter, we'll examine how you can model various types of spatial relationships.