rworldmap : a new R package for mapping global data

By Andy South. The R Journal, 2011

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Advances in flowering phenology across the Northern Hemisphere are explained by functional traits (2018, methodology): “Figure 1a shows a map (generated using the R package ‘rworldmap’, South, 2011) of the observation sites.”
Drivers for global agricultural land use change: The nexus of diet, population, yield and bioenergy (2015, methodology): “The analysis was conducted at 39 country level, in R (R Core Team, 2014) with Rworldmap used to produce global 40 maps of results using associated geographic data (South, 2011).”
tmap: Thematic Maps in R (2018, methodology): “The R packages rworldmap (South 2011), GISTools (Brunsdon and Chen 2014), and choro-plethr (Lamstein and Johnson 2017) provide high level functions that are tailored to plot spatial data.”
The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey (2016, unknown): “2C (South, 2011).”