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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback

Finding areas of high real estate sales activity


In this section of the study, we'll identify neighborhoods with high and low sales activity. This will include hot spot maps for both real estate activity in general as well as sales in our target range of $250,000 to $400,000. We'll also use the Cluster and Outlier Analysis tool to identify any potentially hidden, or outlier, neighborhoods where sales activity is significantly higher than surrounding neighborhoods that are experiencing low sales activity and vice versa.

Running the Hot Spot Analysis tool

We'll use the Hot Spot Analysis tool to generate two hot spot maps: one for all sales in the metropolitan area and another for sales within a range of $250,000 to $400,000:

  1. If necessary, open ArcMap with the SanAntonioRealEstate map document.
  2. Open the Hot Spot Analysis tool.
  3. The ZillowNeighborhoods_SA_Prj layer has a NormCnt field that was created in the Data preparation section of this chapter. This field was calculated by dividing the contents...