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

Chapter 2. Measuring Geographic Distributions with ArcGIS Tools

Obtaining basic spatial statistics about a dataset is often the first step in the analysis of geographic data. The Measuring Geographic Distributions toolset in the ArcGIS Spatial Statistics Tools toolbox contains a set of tools that provide descriptive geographic statistics including the Central Feature, Directional Distribution, Linear Directional Mean, Mean Center, Median Center, and Standard Distance. Together, this toolset provides a set of basic statistical exploration tools.

In this chapter, you will learn how to use many of these tools to obtain basic spatial statistical information about a dataset, including the following topics:

  • Measuring geographic centrality with the Central Feature, Mean Center, and Median Center tools
  • Measuring the degree to which features are concentrated or dispersed around the geometric mean center with the Standard Distance tool
  • Summarizing spatial characteristics of geographic features, including...