Learning R for Geospatial Analysis

Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Learning R for Geospatial Analysis

Michael Dorman

Leverage the power of R to elegantly manage crucial geospatial analysis tasks
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Book Details

ISBN 139781783984367
Paperback364 pages

Book Description

R is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.

This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.

Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book shows you how to get the most out of R's visualization capabilities. The book culminates with examples of cutting-edge applications utilizing R's strengths as a statistical and graphical tool.

Table of Contents

Chapter 9: Advanced Visualization of Spatial Data

What You Will Learn

  • Make inferences from tables by joining, reshaping, and aggregating
  • Familiarize yourself with the R geospatial data analysis ecosystem
  • Prepare reproducible, publication-quality 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

Authors

Table of Contents

Chapter 9: Advanced Visualization of Spatial Data

Book Details

ISBN 139781783984367
Paperback364 pages
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