Book Image

Learning R for Geospatial Analysis

By : Michael Dorman
Book Image

Learning R for Geospatial Analysis

By: Michael Dorman

Overview of this book

Table of Contents (18 chapters)
Learning R for Geospatial Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
External Datasets Used in Examples
Cited References
Index

Summary


In this chapter, we covered the basic methods for working with raster data in R. We now know how to import and export raster data to and from the R environment, how to examine the raster objects at hand, and how to perform simple calculations to modify these objects. We also covered several ways to visually display raster data in R.

The next chapter is going to be very similar in structure and purpose to the present one; it's just that we are going to cover the other main type of spatial data—vector layers.