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Geocomputation with R (Chapman & Hall/CRC The R Series)

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Book Details

  • Author: Robin Lovelace

  • Brand: CRC Press

  • Edition: 1st Edition

  • Binding: Hardcover

  • Number of Pages: 335

  • Release Date: 25-03-2019

  • ISBN: 9781138304512

  • Package Dimensions: 9.4 x 6.4 x 1.0 inches

  • Languages: English


About the Book

"Geocomputation with R" is the essential guide for those looking to analyze, visualize, and model geographic data using the powerful, open-source software R. This book is tailored for those working in the realm of Geographic Information Systems (GIS) who are eager to apply their domain knowledge to a statistical programming language that excels in data science.

The book is divided into three core sections:

  1. Foundations: This section introduces geographic data in R, providing the necessary background to work with spatial datasets. It covers essential skills such as data manipulation, importing/exporting geographic data, and transforming coordinate reference systems.

  2. Extensions: Building on the foundational knowledge, this section explores more advanced techniques, including sophisticated map-making methods (with a focus on web mapping), bridging R with GIS tools, and ensuring reproducibility in spatial analysis. It also includes methods for handling spatial autocorrelation in cross-validation.

  3. Applications: The final section takes the theory and techniques introduced earlier and applies them to real-world problems. The chapters explore various topics such as transport systems modeling, determining optimal locations for services or stores, and ecological modeling, with real-life scenarios bringing the techniques to life.

Exercises at the end of each chapter help reinforce the concepts, and supplementary materials provide extended examples to further develop your skills.

Whether you're an experienced R user looking to expand into spatial data or a GIS professional wanting to incorporate open-source tools into your work, "Geocomputation with R" offers the comprehensive knowledge you need to tackle geospatial problems effectively.