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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

Working with the Utilities Toolset

The tools found in the Utilities toolset are primarily used for data conversion tasks in support of other tools found in the Spatial Statistics Tools toolbox. Tools in this toolset include Calculate Distance Band from Neighbor Count, Collect Events, and Export Feature Attributes to ASCII.

The Calculate Distance Band from Neighbor Count tool returns the minimum, maximum, and average distance to the specified nth nearest neighbor. Before doing so, it generates a list of all features in the dataset plus the distances to those features' nearest n neighbors. This tool is used as a support tool when using the Hot Spot Analysis, Cluster and Outlier Analysis, and Spatial Autocorrelation tools. The maximum distance reported by the Calculate Distance Band from Neighbor Count tool can be used as input to the Distance Band or Threshold parameter for these tools.

The Collect Events tool...

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