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
About the Author
About the Reviewer
Customer Feedback

Chapter 8. Creating Custom ArcGIS Tools with ArcGIS Bridge and R

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 a 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 the GIS data managed in traditional GIS ways

The creation of custom script tools in ArcGIS has been possible for a long time using the Python programming language. Now, using the R-ArcGIS Bridge package you can also use the R programming language to build custom script tools that allow you to integrate GIS data with R scripts. The new arcgisbinding package facilitates the movement of data between these two platforms. You can also access traditional GIS data formats through your standalone R scripts.

In this chapter...