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Spatial Analytics with ArcGIS

You're reading from Spatial Analytics with ArcGIS Build powerful insights with spatial analytics

Product type Paperback

Published in Apr 2017

Publisher Packt

ISBN-13 9781787122581

Length 290 pages

Edition 1st Edition

Languages

Python

Tools

ArcGIS

Concepts

Geospatial Analysis

Author (1):

Eric Pimpler

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Spatial Statistics in ArcGIS and R FREE CHAPTER

2. Measuring Geographic Distributions with ArcGIS Tools

3. Analyzing Patterns with ArcGIS Tools

4. Mapping Clusters with ArcGIS Tools

5. Modeling Spatial Relationships with ArcGIS Tools

6. Working with the Utilities Toolset

7. Introduction to the R Programming Language

8. Creating Custom ArcGIS Tools with ArcGIS Bridge and R

9. Application of Spatial Statistics to Crime Analysis

10. Application of Spatial Statistics to Real Estate Analysis

Summary

This chapter covered the use of a number of tools found in the Analyzing Patterns toolset that can be used to generate a single statistic for an entire dataset that indicates whether the data exhibits a clustered, dispersed, or random spatial pattern. In the next chapter, you'll learn how to use the clustering tools found in the Spatial Statistics Tools toolbox.

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Authors (1)

Eric Pimpler

Eric Pimpler

Eric Pimpler is the founder and owner of GeoSpatial Training Services and has over 20 years of experience in implementing and teaching GIS solutions using Esri, Google Earth/Maps, and open source technology. Currently, he focuses on ArcGIS scripting with Python and the development of custom ArcGIS Server web and mobile applications using JavaScript. He is the author of Programming ArcGIS 10.1 with Python Cookbook. Eric has a bachelor's degree in geography from Texas A&M University and a master's degree in applied geography with a specification in GIS from Texas State University.

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