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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

Application of Spatial Statistics to Crime Analysis

Vehicle theft in Seattle, WA, increased in 2016 compared to previous years. According to the West Seattle blog (http://westseattleblog.com/), car thefts in King County (Seattle area) increased by 18.9% during the first four months of 2016 compared to the first four months of 2015 - from about 2,500 to about 2,900. By the end of the year, Seattle had experienced over 7,000 vehicle thefts in 2016. Understanding more about where these thefts occurred can be of assistance to local police and city officials. However, knowing where vehicle theft occurs doesn't necessarily help us understand why it is occurring. Using spatial statistics tools provided by ArcGIS allows analysts and officials to understand where vehicle theft occurs, but also where they cluster, and which variables explain why they occur.

This chapter will differ somewhat from the previous chapters...

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