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 Optimized Hot Spot Analysis tool in real estate sales

Many analysts have difficulty in defining the neighborhood for their analysis. The neighborhood you define should match the question you are asking. For example, a study of obesity in California counties would need a large neighborhood due to the size of counties. However, a study of real estate sales for a metro area would need a much smaller neighborhood. If you are unsure of the distance to use for the neighborhood calculation, the Optimized Hot Spot Analysis tool will calculate the optimized neighborhood along with simplifying and optimizing some of the other input parameters. For example, it tosses out outliers. However, keep in mind that it automatically uses FIXED_DISTANCE as its conceptualization of spatial relationship, and this may not be appropriate in your particular study. In this exercise, you'll learn how to use the Optimized Hot Spot Analysis tool to determine hot and cold spots of residential real estate sales...