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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

Introduction to the R Programming Language

The R Project for Statistical Computing, or simply named R, is a free software environment for statistical computing and graphics. It is also a programming language that is widely used among statisticians and data miners for developing statistical software and data analysis.

Although there are other programming languages for handling statistics, R has become one of the most popular languages for statistical routines, offering a package repository with over 6,400 packages. The R language also offers versatile and powerful plotting tools.

In this chapter, you will learn the fundamentals of the R programming language and how it can be applied to GIS analysis. However, this chapter is not a comprehensive guide to the R language. Instead, it will focus on introducing you to some of the most important constructs of the language and the various data types you can expect to encounter...

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