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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

Chapter 4. Mapping Clusters with ArcGIS Tools

Many things in life naturally tend to cluster. Housing, businesses, trees, and crimes are all examples of clustering. The degree of this clustering is important. The tools in the Mapping Clusters toolset don't just answer the question "Is there clustering?", but they also answer the question "Where is the clustering?"

The Mapping Clusters tools are helpful in identifying statistically significant hot and cold spots, spatial outliers, as well as locating similar features, and grouping features. This toolset can also be used to define actions that should take place based on the location of clusters. For example, the Mapping Clusters tools can be used to identify areas of high crime activity (burglaries, for example) that can be useful in allocating police officers to deal with this activity in those areas. While these clusters don't typically identify why a phenomena is occurring, they can often provide clues.

The tools in this toolset allow us to...

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