Three-dimensional visualization, although undesirable for certain purposes (where precise interpretation is important, such as in the scientific literature), can nevertheless be particularly impressive and aesthetically appealing. In this section, we are going to use lattice
to create three-dimensional plots of spatial and nonspatial data, which is not possible to do with ggplot2
since it only allows two-dimensional plotting. The lattice
graphics framework and syntax are no less complex than those of ggplot2
, and a single section is far too short to comprehensibly review the subject. Our purpose here is much more modest: to show some of the things that can be achieved and inspire interested readers to investigate further. For more information on lattice
, readers are referred to the authoritative overview in the book by package author Deepayan Sarkar, Lattice: Multivariate Data Visualization with R, Springer, which was published in 2008.
Learning R for Geospatial Analysis
By :
Learning R for Geospatial Analysis
By:
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