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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
4 (1)
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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

4 (1)
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 (11 chapters)
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Application of Spatial Statistics to Real Estate Analysis

Lone Stone Realty, a fictional real estate brokerage located in the Stone Oak area of San Antonio, Texas, has contracted you to provide an analysis of residential sales for the metropolitan area. Using sales information for the past year, they would like to use your services to get a better understanding of the underlying geographic patterns that influence their business, guide their potential expansion efforts, and assist with marketing efforts.

Lone Star Realty currently has a single office location in the Stone Oak area and a large percentage of their business is conducted in this area. The brokerage focuses on assisting buyers and sellers within a price range of $250,000 to $400,000, and for the most part, within a roughly 5 square miles radius of the neighborhood. They would like to have you analyze a dataset of all residential sales from the past year...

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