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

Using the Mapping Clusters tool in vehicle theft data

In the last section, our analysis revealed that vehicle theft in Seattle is clustered. Now, we'll expand our analysis to include the use of several tools found in the Mapping Clusters toolset, including Hot Spot Analysis, Grouping Analysis, and Cluster and Outlier Analysis:

  1. Let's start the clustering analysis by running the Hot Spot Analysis tool. Define Seattle_NHood_VehicleTheft as the input feature class and NormVT as the analysis field. You can define the name and location of the output feature class. For the Conceptualization of Spatial Relationships parameter, use your knowledge of the neighborhood boundaries and the dataset to select an appropriate value. The following screenshot shows the output using CONTIGUITY_EDGES_CORNERS. You may also want to run this tool multiple times with different values for the spatial relationship parameter to see the effect on the output:
  1. Now run the Cluster and Outlier Analysis tool with the same input...