Hi,
You can also use the 'maps' package for the map data and the 'scales'
package for the color mapping.
E.g.
library(maps)
library(scales)
m <- map('state', fill=TRUE, plot=FALSE)
s_data <- tolower(rownames(USArrests))
s_map <- tolower(m$names)
mapping <- lapply(s_data, function(state) {
which(grepl(state, s_map))
})
## check if the mapping is good!
col_pal <- col_numeric("Greens", domain=NULL, na.color = 'lightyellow')
cols <- rep('lightyellow', length(s_data))
Map(function(indices, col) {
cols[indices] <<- col
}, mapping, col_pal(USArrests$UrbanPop))
map(m, col=cols, fill=TRUE)
Adrian
On Mon, Dec 7, 2015 at 9:34 AM, Erich Neuwirth
<erich.neuwi...@univie.ac.at> wrote:
> ggplot2 also can do this with
> fortify
> geom_polygon
>
> Von meinem iPad gesendet
>
>> Am 06.12.2015 um 21:03 schrieb Benjamin Tyner <bty...@gmail.com>:
>>
>> Hi
>>
>> I wish to draw a basic choropleth (US, by state) and am wondering if anyone
>> has any recommendations? I've tried the following thus far:
>>
>> 1. choroplethr: this works, but required installation of 30+ dependencies. I
>> would prefer something with fewer dependencies.
>> 2. tmap: this also seems promising, but most of the examples I saw were
>> specific to European maps. Can it be adapted for US?
>> 3. statebins: doesn't draw true choropleths, but I liked that it doesn't
>> have many dependencies.
>>
>> Regards
>> Ben
>>
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>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
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