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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 (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
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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

Using the Average Nearest Neighbor tool


The Average Nearest Neighbor tool calculates a nearest neighbor index based on the average distance from each feature to its nearest neighboring feature. For each feature in a dataset, the distance to its nearest neighbor is computed. An average distance is then computed.

The average distance is compared to the expected average distance. In doing so, an Average Nearest Neighbor (ANN) ratio is created which in simple terms is the ratio of observed/expected. If the ratio is less than 1, we can say that the data exhibits a clustered pattern, whereas a value greater than 1 indicates a dispersed pattern in our data.

The ANN ratio created as a result of dividing the observed distance by the expected distance creates a value between 0 and 1. If the ratio is less than 1, we can say that the data exhibits a clustered pattern, whereas a value greater than 1 indicates a dispersed pattern in our data.

Preparation

If necessary, open ArcMap with the   C:GeospatialTrainingSpatialStatsDenverCrime...

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