Geocomputation with R is for people who want to analyze, visualize
and model geographic data with open source software. It is based on R, a
statistical programming language that has powerful data processing,
visualization, and geospatial capabilities. The book equips you with the
knowledge and skills to tackle a wide range of issues manifested in
geographic data, including those with scientific, societal, and
environmental implications. This book will interest people from many
backgrounds, especially Geographic Information Systems (GIS) users
interested in applying their domain-specific knowledge in a powerful
open source language for data science, and R users interested in
extending their skills to handle spatial data.
The book is divided into three parts: (I) Foundations, aimed at getting
you up-to-speed with geographic data in R, (II) extensions, which covers
advanced techniques, and (III) applications to real-world problems. The
chapters cover progressively more advanced topics, with early chapters
providing strong foundations on which the later chapters build. Part I
describes the nature of spatial datasets in R and methods for
manipulating them. It also covers geographic data import/export and
transforming coordinate reference systems. Part II represents methods
that build on these foundations. It covers advanced map making
(including web mapping), "bridges" to GIS, sharing reproducible code,
and how to do cross-validation in the presence of spatial
autocorrelation. Part III applies the knowledge gained to tackle
real-world problems, including representing and modeling transport
systems, finding optimal locations for stores or services, and
ecological modeling. Exercises at the end of each chapter give you the
skills needed to tackle a range of geospatial problems. Solutions for
each chapter and supplementary materials providing extended examples are
available at https: //geocompr.github.io/geocompkg/articles/.
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Dr. Robin Lovelace is a University Academic Fellow at the University of
Leeds, where he has taught R for geographic research over many years,
with a focus on transport systems. Dr. Jakub Nowosad is an Assistant
Professor in the Department of Geoinformation at the Adam Mickiewicz
University in Poznan, where his focus is on the analysis of large
datasets to understand environmental processes. Dr. Jannes Muenchow
is a Postdoctoral Researcher in the GIScience Department at the
University of Jena, where he develops and teaches a range of geographic
methods, with a focus on ecological modeling, statistical geocomputing,
and predictive mapping. All three are active developers and work on a
number of R packages, including stplanr, sabre, and RQGIS.
