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 ...

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) ...

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 ...

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 ...

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(...

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 ‘...