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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Geocomputation with R (Paperback)
Loot Price: R1,607
Discovery Miles 16 070
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Geocomputation with R (Paperback)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 9 - 15 working days
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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/. 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.
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