Geocomputation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

• Geocomputation with R
• Robin Lovelace, Jakub Nowosad, Jannes Muenchow
• Page: 354
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781138304512
• Publisher: Taylor & Francis

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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.

2 Geographic data in R | Geocomputation with R
2 Geographic data in R | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based  15 Conclusion | Geocomputation with R
A book on geographic data with R. Considered how you can use geocomputation to solve real-world problems, at work and beyond, after engaging with Part 3  Presentations - Geocomputation with R
Geocomputation with R: Empower yourself with free software and geo* data Northwest Presentation “Geocomputation with R: An overview of the field and  Geocomputation with R, data science, open source software and
This talk will introduce *Geocomputation with R*, a new book on using R to work with geographic data. It covers some of the key contents from  8 Making maps with R | Geocomputation with R - RStudio Connect
A book on geographic data with R. Static maps are the most common type of visual output from geocomputation. Fixed images for printed outputs, common  12.2 Geographic algorithms - Geocomputation with R - Robin
In the introduction we promised to teach not only how to use existing tools for Geocomputation in R, but also develop new ones: “in the form of shareable R  Geocomputation with R - the intermission | Jakub Nowosad's website
A lot of things have changed since the last blogpost about Geocomputation with R. In this post I'll give an update of our progress and our plans  10 Scripts, algorithms and functions | Geocomputation with R
10 Scripts, algorithms and functions | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. 8 Making maps with R | Geocomputation with R
8 Making maps with R | Geocomputation with R is for people who want to analyze , visualize and model geographic data with open source software. It is based  14 Ecology | Geocomputation with R
Specifically, we will compute catchment slope and catchment area from a digital elevation model using R-GIS bridges (see Chapter 9). Curvatures might also  geocompr/geocompkg: Geocomputation with R - Rdrr.io
Vignettes and solutions to supplement the book Geocomputation with R.

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