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

Recommendations for the client


Lone Star Realty has asked assistance in providing some recommendations and analysis for their real estate practice. They are considering expansion plans to include the opening of a second office that would continue to focus on their target market of buyers and sellers in a price range of $250,000 to $400,000. To that end, our analysis has revealed some interesting information that we think is beneficial:

  1. In ArcMap, turn on the ZillowNeighborhoods_Similar and PotentialNeighborhoodExpansion layers as shown in the following screenshot:
  1. The current office is located in the far northern section of the metropolitan area and is well located for servicing real estate sales in their target market. It is surrounded by a number of neighborhoods that are experiencing high sales activity.

Our similarity search for neighborhoods in San Antonio that have the same characteristics in terms of variables such as average sales price, number of bedrooms and baths, and number of days...