Articles by the Geocomputation with R website

Automatic website with the Geocomputation with R solutions

February 23, 2022 | the Geocomputation with R website

Geocomputation with R is a book on geographic data analysis, visualization, and modeling. Each chapter1 ends with a set of exercises allowing the readers to test how well they understand each presented concepts and approaches. However, exercises are often not enough without their solutions, which provides a way to compare ... [Read more...]

Progress update: Geocomputation with R Second Edition Part 1

January 26, 2022 | the Geocomputation with R website

Geocomputation with R is a book on geographic data analysis, visualization, and modeling. The First Edition was first published as a physical book in 2019 and we have reached 500k people through via the website at https://geocompr.robinlovelace.net...

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Geocomputation with R: Second Edition feedback

September 5, 2021 | the Geocomputation with R website

TL;DR: Please help us by filling out the survey at https://forms.gle/nq9RmbxJyZXQgc948. It’s been almost 3 years since the first edition of Geocomputation with R was published back in 2019. It’s been an amazing journey for this open source book on ... [Read more...]

Conversions between different spatial classes in R

June 16, 2021 | the Geocomputation with R website

The R programming language has, over the past two decades, evolved substantial spatial data analysis capabilities, and is now one of the most powerful environments for undertaking geographic research using a reproducible command line interface. Currently, dedicated R packages allow to read spatial data and apply a plethora of different ... [Read more...]

Recent changes in R spatial and how to be ready for them

April 24, 2020 | the Geocomputation with R website

Currently, hundreds of R packages are related to spatial data analysis. They range from ecology and earth observation, hydrology and soil science, to transportation and demography. These packages support various stages of analysis, including data pr... [Read more...]

Demo of reproducible geographic data analysis: mapping Covid-19 data with R

April 22, 2020 | the Geocomputation with R website

Introduction The coronavirus pandemic is a global phenomenon that will affect the lives of the majority of the world’s population for years to come. Impacts range from physical distancing measures already affecting more than half of Earth’s population and knock-on impacts such as changes in air quality to ... [Read more...]

Installing spatial R packages on Ubuntu

March 29, 2020 | the Geocomputation with R website

This post explains how to quickly get key R packages for geographic research installed on Ubuntu, a popular Linux distribution. A recent thread on the r-spatial GitHub organization alludes to many considerations when choosing a Linux set-up for work with geographic data, ranging from the choice of Linux distribution (distro) ...

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Inset maps with ggplot2

December 7, 2019 | the Geocomputation with R website

Inset maps enable multiple places to be shown in the same geographic data visualisation, as described in the Inset maps section (8.2.7) of our open source book Geocomputation with R. The topic of inset maps has gained attention and recently Enrico Spinielli asked inset maps could be created for data in ...

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Map coloring: the color scale styles available in the tmap package

October 16, 2019 | the Geocomputation with R website

This vignette builds on the making maps chapter of the Geocomputation with R book. Its goal is to demonstrate all possible map styles available in the tmap package. Prerequisites The examples below assume the following packages are attached:

library(spData) # example datasets
library(tmap)   # map creation
library(sf)     # spatial data reprojection

The world object containing a world map data from Natural Earth ...

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Grids and graticules in the tmap package

September 3, 2019 | the Geocomputation with R website

This vignette builds on the making maps chapter of the Geocomputation with R book. Its goal is to demonstrate how to set and modify grids and graticules in the tmap package. Prerequisites The examples below assume the following packages are attached:

library(spData) # example datasets
library(tmap)   # map creation (>=2.3)
library(sf)     # spatial data classes

Grids and graticules The tmap package offers two ...

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Geographic projections and transformations

August 20, 2019 | the Geocomputation with R website

Introduction This workbook outlines key concepts and functions related to map projections — also referred to as coordinate reference systems (CRSs) — and transformation of geographic data from one projection to another. It is based on the open source book Geocomputation with R, and Chapter 6 in particular. It was developed for the ‘...