rMaps is an R package to create, customize and publish interactive maps from R. It supports multiple mapping libraries, including leaflet, datamaps and crosslet
You can install rMaps from github using the devtools package. You will also need to install the dev version of rCharts, that contains several experimental features, required by rMaps.
require(devtools)
install_github('ramnathv/rCharts@dev')
install_github('ramnathv/rMaps')Here are some quick examples to get you started.
Example 1: CrossLet
CrossLet is an amazing mappling library that combines Leaflet and CrossFilter, allowing one to create awesome visualizations. rMaps wraps CrossLet and provides R users with a simple interface to access its features.
library(rMaps)
crosslet(
x = "country",
y = c("web_index", "universal_access", "impact_empowerment", "freedom_openness"),
data = web_index
)
Example 2: DataMaps
DataMaps uses D3.js to create customizable SVG map visualizations in a single Javscript file. rMaps provides a simple wrapper around DataMaps and also extends its features using AngularJS.
ichoropleth(Crime ~ State, data = subset(violent_crime, Year == 2010))
ichoropleth(Crime ~ State, data = violent_crime, animate = "Year")
ichoropleth(Crime ~ State, data = violent_crime, animate = "Year", play = TRUE)
Example 3: Leaflet
map <- Leaflet$new()
map$setView(c(51.505, -0.09), zoom = 13)
map$tileLayer(provider = 'Stamen.Watercolor')
map$marker(
c(51.5, -0.09),
bindPopup = 'Hi. I am a popup'
)
map
rMaps would have not been possible without these amazing mapping libraries written in javascript
rMaps is licensed under the MIT License. However, the JavaScript charting libraries that are included with this package are licensed under their own terms. All of them are free for non-commercial and commercial use. For more details on the licensing terms, you can consult the License.md file in each of the charting libraries.