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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 2. Measuring Geographic Distributions with ArcGIS Tools FREE CHAPTER 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 Calculate Distance Band from Neighbor Count tool

The Calculate Distance Band from Neighbor Count tool returns the minimum, maximum, and average distance to the specified nth nearest neighbor. This tool requires several inputs including an input feature class, the number of neighbors to analyze, and the distance method. If the input feature class is a polygon or polyline, it will use the centroid of the feature as the input feature. 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 an input to the Distance Band or Threshold parameter for these tools. In this exercise, you'll learn how to use the tool to generate the distance band for the Hot Spot Analysis tool.

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