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

Chapter 6. Modifying Rasters and Analyzing Raster Time Series

In this chapter, we will continue with the material presented in Chapter 4, Working with Rasters, moving on to more advanced operations. These involve either the modification of the geometric properties of a raster or direction- and distance-related calculations on rasters; mostly using additional functions in the raster package. Examples related to the analysis of spatio-temporal remote sensing data will be presented in the last section of this chapter, to demonstrate how more complex, custom-made procedures of raster processing can be constructed.

In this chapter, we will use objects that we previously created in Chapter 3, Working with Tables, and Chapter 4, Working with Rasters.

In this chapter, we'll cover the following topics:

  • Modifying the geometry of raster layers

  • Applying focal filters

  • Clumping patches of connected cells

  • Resampling and reprojection of rasters

  • Performing topography-related calculations on elevation data

  • Aggregating...