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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

Building custom ArcGIS tools with R

Scripts written in R can be called from ArcGIS via custom script tools in much the same way that Python can be used. There are three components of R scripts tools, including the R script, a custom toolbox, and parameters for the script. The arcgisbinding package provides the mechanism for communication between R and ArcGIS.

Introduction to the arcgisbinding package

The arcgisbinding package allows you to access ArcGIS format data from an R script. Using this package, you can access geodatabases and shapefiles for read and write purposes. You can also select subsets of GIS datasets using a select() function that acts much the same as cursor objects in Python. Basically, they are in-memory copies of datasets. You can also convert...

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