Key Features
Book Description
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software—a working installation of R is all that is necessary to begin.What you will learn
- Make inferences from tables by joining, reshaping, and aggregating
- Familiarize yourself with the R geospatial data analysis ecosystem
- Prepare reproducible, publicationquality plots and maps
- Efficiently process numeric data, characters, and dates
- Reshape tabular data into the necessary form for the specific task at hand
- Write R scripts to automate the handling of raster and vector spatial layers
- Process elevation rasters and time series visualizations of satellite images
- Perform GIS operations such as overlays and spatial queries between layers
- Spatially interpolate meteorological data to produce climate maps
Who this book is for
Table of Contents
- The R environment
- Working with vectors and time series
- Working with tabular data
- Working with rasters
- Working with points, lines and polygons
- Advanced operations on rasters
- Combining raster and vector datasets
- Interpolating point data in space
- Advanced visualization of spatial data
- Appendix A: External Datasets Used in Examples
- Appendix B: Cited References
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