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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

Creating Hot Spot maps from point data using the Optimized Hot Spot Analysis tool


The Hot Spot Analysis and Optimized Hot Spot Analysis tools are traditionally used with polygon data. However, there may be times when your source data is represented by point locations. These locations may or may not have applicable attribute information.

There are two ways to handle this situation. If you have a suitable boundary layer such as census tracts or blocks, ZIP codes, or other political boundaries, you can aggregate the point data to the boundaries and then perform the hot spot analysis. You've already seen some examples of this. But there may be times when you don't have a suitable boundary layer to aggregate the points or simply want to use the point layer instead. In these situations, you can use the Optimized Hot Spot Analysis tool to create a fishnet of rectangular features to use as the aggregation layer. In this exercise, you'll learn how to use this tool with point features to generate a...

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