Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Spatial Analytics with ArcGIS
  • Table Of Contents Toc
  • Feedback & Rating feedback
Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
4 (1)
close
close
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)
close
close

Integrating R with ArcGIS

The R Project for Statistical Computing, or simply referred to as 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 the de facto language of statistical routines, offering a package repository with over 6,400 problem solving packages. It offers versatile and powerful plotting. It also has the advantage of treating tabular and multidimensional data as a labeled, indexed series of observations.

The R-ArcGIS Bridge is a free, open source R package that connects ArcGIS and R. It was released together with an R ArcGIS community website on GitHub, encouraging collaboration between the two communities. The package serves the following three purposes:

  • ArcGIS developers can now create custom tools and toolboxes that integrate ArcGIS and R
  • ArcGIS users can access R code through geoprocessing scripts
  • R users can access GIS data managed in traditional GIS ways

This book incudes an introductory chapter on the R language along with a chapter detailing the installation of the R­ArcGIS Bridge and the creation of custom ArcGIS script tools using R. Using R with ArcGIS Bridge enables the creation of custom ArcGIS tools that will connect GIS data sources, such as feature classes to create statistical output from the R programming language, as shown in the following screenshot:

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY