Re: plot histogram or some other geom on ggmap object

[Brandon Hurr]

I remember seeing this and found this....

http://blog.revolutionanalytics.com/2012/09/visualize-complex-data-with-subplots.html

Looks like it's exactly what you're after. Package is called ggsubplot. 

On Tue, Oct 16, 2012 at 10:31 PM, Andrew <wab...@gmail.com> wrote:

Hello everyone, 

I have a dataframe (myData) of species abundance with lat lon data. 

latitude     longitude     species     abundance   location

11.6129     1.2891      x           200            here

11.6129     1.2891      y          500             here

15.377      14.754      y           5000            there

15.377      14.754      z           2001            there

I can easily get a barplot of species abundance at each site like this. 

qplot(y=abundance,x=species,data=myData,geom="bar",facets=~location).

That is all well and good, but I want to plot these barplots not in a regular grid, as facets produces, plotted to a real map.  I am aware of  the lovely ggmap package and I have downloaded a google satellite image. I can overlay point data, but I can't figure out how to get a geom like a barplot to overlay on the map.  

Thanks for any help you can give. 

Andrew Barr

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[David Kahle]

Yea, I'm not sure if I understand the question correctly.  But if you'd like to use ggmap and ggsubplot, here's a basic example I cooked up based on Garrett's; I haven't played around with it very much though.

I think you'll need to think about what you want your aesthetics to be, remembering that geom_bar defaults to stat_bin as opposed to stat_identity.  For more on that, see http://docs.ggplot2.org/0.9.2.1/.

Cheers

david.

library(ggsubplot)

library(ggmap)

qmap('afghanistan', zoom = 6, maptype = 'toner', extent = 'panel') +

  geom_subplot2d(

    aes(lon, lat,

      subplot = geom_bar(aes(victim, ..count.., fill = victim))

    ), bins = c(15,12), ref = NULL, width = rel(0.8),

    data = casualties

  )

[Andrew Barr]

Yes!  Thank you David and Brandon. This is exactly what I am looking for.  I wasn't aware of the ggsubplot package, but it does precisely what I need. 

Andrew