The next tool we'll examine is the Cluster and Outlier Analysis
tool. This tool, in addition to performing hot spot analysis, identifies outliers in your data. Outliers are extremely relevant to many types of analysis. The tool starts by separating features and neighborhoods from the study area. Each feature is examined against every other feature to see if it is significantly different from the other features. Likewise, each neighborhood is examined in relationship to all other neighborhoods to see if it is statistically different than other neighborhoods. In this exercise, you'll learn how to use the Cluster and Outlier Analysis
tool to find outliers (hot spots located in areas of cold spots and cold spots located in areas of hot spots).
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