New answers tagged maps
Here is an approach using extract() from the raster package. I tested it with altitude and mean temperature data from the WorldClim website (I limit this example to altitude, temperature works similar), and an appropriate shapefile of the US containing state borders is to be found here. Just download the .zip data and decompress it to your working directory. ...
Many thanks for the useful links to old Russian maps. I like these maps a lot and have been collecting them for quite awhile. I have been recently uploading my own personal raster map collection onto the internet for others to view. Please feel free to share, link or even embed the following online maps onto your website embedding html code can be found ...
I would drop using the maps package and find a state shapefile. Then load that into R using rgdal, and then do some polygon overlay work. # use state bounds from gadm website: us=shapefile("USA_adm1.shp") # extract states (need to uppercase everything) ne = us[match(toupper(nestates),toupper(us$NAME_1)),] # create a random raster over the space: ...
If you like using apple try cartomobile. Unfortunately the UI is terrible.
An example can be found at this website: http://thematicmapping.org/playground/openlayers_piecharts_geojson_google_chart.php
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