tmap
absmapsdata
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| tmap | absmapsdata | |
|---|---|---|
| 3 | 3 | |
| 837 | 57 | |
| 1.6% | - | |
| 9.4 | 5.5 | |
| 4 days ago | 9 months ago | |
| R | R | |
| GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tmap
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US Colored Map
try the tmap package
- I did this on excel, but want to export to SVG and have the labels for all countries even if they go outside, I can rearrange on illustrator. Which would be the best way to reproduce in R. Which package allows for a choropleth world map with country labels?
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Which R package should I choose to draw maps?
Leaflet has been mentioned but is for web maps, which may or may not be what you're looking for. You can definitely use ggplot, otherwise tmap is a sepcialised mapping package whose syntax is modelled on ggplot.
absmapsdata
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Total Cases (x) vs Current Cases (y) as % of population in VIC LGAs, animated from Dec 2021 to today
It's using the R language with absmapsdata for the maps and gganimate to do the animation.
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Covid-19 in Melbourne in 51 Seconds, 2020-02-15 to 2021-10-20 (details + alternate link in comments)
Produced using R, Tidyverse, gganimate and absmapsdata.
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Covid-19 in Melbourne in 100 Seconds, 2020-02-15 to 2021-10-08 (details + alternate link in comments)
Background/fill = Active cases in LGA Central Dot Colour = New cases in LGA Grey = No Cases Dark to Bright = Log scale low to high Produced using R, Tidyverse, gganimate and absmapsdata. Covid-19 data from https://www.coronavirus.vic.gov.au/latest-covid-19-data
What are some alternatives?
ggplot2 - An implementation of the Grammar of Graphics in R
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
sf - Simple Features for R
r4ds - R for data science: a book
mapview - Interactive viewing of spatial data in R
ShinyWebAppWithFormAndLeafletMap - This repo contains the code to build a webapp for data collection and viewing the map on a leaflet map using R Shiny. The specific webapp that I built is aimed to collect data of sustainability practices of various eateries around the world, in the times of climate change.
worldview - Create an image of a random location in the world (from an XYZ server)
awesome-R - A curated list of awesome R packages, frameworks and software.