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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
4 (1)
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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

4 (1)
By: Eric Pimpler

Overview of this book

Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data.
Table of Contents (11 chapters)
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2
Measuring Geographic Distributions with ArcGIS Tools
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7
Introduction to the R Programming Language
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8
Creating Custom ArcGIS Tools with ArcGIS Bridge and R
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9
Application of Spatial Statistics to Crime Analysis
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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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