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

Creating rasters from vector layers


One of the main reasons to convert a vector layer to a raster is that we are interested in employing raster analysis tools or procedures on data that is currently held in vector form (and vice versa). For example, when preparing a multiband raster with various environmental characteristics of a given area, such as slope or NDVI, we may wish to add layers that are commonly given in the vector format, such as built area polygons or road lines. To do this, we first need to convert these vector layers to rasters, and then supplement the multiband raster with the additional layers.

The process of converting a vector layer to a raster is called rasterizing, in the raster package terminology, and it is performed with the rasterize function. In this section, we will see an example of how to rasterize a point vector layer, while keeping in mind that the procedures to rasterize lines and polygons are analogous. You will also learn the related operations of raster...