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 Similarity Search tool

The Similarity Search tool is used to identify candidate features that are mot similar or most dissimilar to one or more input features by on the attributes of a feature. For input, you select either a layer or a selected subset of a layer. The tool can be used to select most similar, least similar, or both. Dissimilar searches can be equally as important as similarity searches. For example, a community development organization, in its attempts to attract new businesses, might show that their city is dissimilar to other competing cities when comparing crimes.

Here is an example of when using the Similarity Search tool would be appropriate. The following screenshot displays a successful store location along with several potential new store locations. This current successful location has a number of attached attributes, including Average Income, Population Density, and Distance to Competitor. A number of possible candidate features are displayed as green points...