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Spatial Analytics with ArcGIS

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

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787122581
Length 290 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Eric Pimpler Eric Pimpler
Author Profile Icon Eric Pimpler
Eric Pimpler
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Table of Contents (11) Chapters Close

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

The Standard Distance and Directional Distribution tools

The Standard Distance tool measures the degree to which features are concentrated or dispersed around the geometric mean center. It shows the concentration or dispersal of data. The output circle created by this tool is defined by standard deviation and can include one, two, or three standard deviations. In general, the larger the circle, the more dispersed the data.

The Directional Distribution (Standard Deviational Ellipse) tool creates standard deviation ellipses to summarize the spatial characteristics of geographic features, including central tendency, dispersion, and directional trends. The ellipses are centered on the mean center. This tool calculates directionality, centrality, and dispersion.

In this exercise, you'll learn how to use both tools.

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