Click here to see the SAS code.
Click here to see the example.

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See my blog for more information about this graph!


This map employs several fairly tricky techniques, to get a map ~exactly like
the one in this article:

http://bigmedicine.ca/wordpress/2014/04/global-epidemiological-update-outbreak-of-ebola-virus-disease-in-west-africa


I use the mapsgfk.africa continent map to get the countries.
I then use the individual country maps (such as mapsgfk.guinea)
to show the colored areas within the country that have ebola cases
(this is a bit tricky, because different maps have different numbers
of levels within them - for example I had to use gremove on mapsgfk.liberia
to get the level I wanted). I then combine all the maps, and the ones 
included last are the ones that you see 'on top' when there are multiple
maps in the same location.

I also annotate darker country outlines, so you can distinguish them from
the gray smaller-area outlines.

I annotate country labels based on lat/long, and also capital city markers
and text.

I merge in the _attr dataset info, so I can have country & area names
in the html hover-text.

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