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...
Spatial Analytics with ArcGIS
By :
Spatial Analytics with ArcGIS
By:
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
Free Chapter
Introduction to Spatial Statistics in ArcGIS and R
Measuring Geographic Distributions with ArcGIS Tools
Analyzing Patterns with ArcGIS Tools
Mapping Clusters with ArcGIS Tools
Modeling Spatial Relationships with ArcGIS Tools
Working with the Utilities Toolset
Introduction to the R Programming Language
Creating Custom ArcGIS Tools with ArcGIS Bridge and R
Application of Spatial Statistics to Crime Analysis
Application of Spatial Statistics to Real Estate Analysis
Customer Reviews