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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 Collect Events tool

The Collect Events tool converts event data points to weighted point data. This tool creates an output feature class containing all unique locations. By unique locations, we mean that the point locations must have the exact same x,y location. If your data has many points that are close together but not identical, you could consider using the Integrate tool to snap nearby features together before using the Collect Events tool.

The output feature class will contain an ICOUNT field that contains the sum of all incidents at each unique location. Tools such as Hot Spot Analysis, Cluster and Outlier Analysis, and Spatial Autocorrelation require weighted points for use in their analysis rather than individual incidents, so the Collect Events tool can be used to create the weighted points. In this exercise, you'll use the Collect Events tool to group residential real estate sales.

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