The graphical representation of data is a central feature, or even the main purpose, of data analysis in general and of spatial data analysis in particular. This section serves as a basic introduction to the procedure of creating graphical output in R. Such an introduction is necessary before moving on to the later chapters, where we would like to quickly be able to display intermediate products during various spatial data analysis steps. In Chapter 9, Advanced Visualization of Spatial Data, we will devote some additional time to the subject of visualization in R, and see how graphical output can be customized when producing publication-quality plots as the end product of spatial data analysis.
Learning R for Geospatial Analysis
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Learning R for Geospatial Analysis
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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
Free Chapter
The R Environment
Working with Vectors and Time Series
Working with Tables
Working with Rasters
Working with Points, Lines, and Polygons
Modifying Rasters and Analyzing Raster Time Series
Combining Vector and Raster Datasets
Spatial Interpolation of Point Data
Advanced Visualization of Spatial Data
External Datasets Used in Examples
Cited References
Index
Customer Reviews