Book Image

Spatial Analytics with ArcGIS

By : Eric Pimpler
Book Image

Spatial Analytics with ArcGIS

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 (16 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback

Chapter 7. 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. In future chapters, you'll integrate R programming scripts with...