Hi there,
Recently i've been trying to create a map of Scotland using gvisgeomap
within R, using the googleVis package.
This map is to be broken down into council areas using ISO codes.
I was following an example I found where someone had created a map of
Argentina broken down into provinces.
The code was as follows:
data_AR <- data.frame( Code = c('AR-A','AR-B','AR-C',
'AR-D','AR-E','AR-F','AR-G','AR-H','AR-J','AR-K','AR-L',
'AR-M', 'AR-N','AR-P','AR-Q','AR-R','AR-S','AR-T','AR-U',
'AR-V','AR-W','AR-X','AR-Y','AR-Z'), Provincia = c('Salta',
'Provincia de Buenos Aires','Capital Federal','San Luis',
'Entre Ríos','La Rioja','Santiago del Estero','Chaco',
'San Juan','Catamarca','La Pampa','Mendoza',
'Misiones','Formosa','Neuquén','Río Negro','Santa Fe',
'Tucumán','Chubut','Tierra del Fuego', 'Corrientes',
'Córdoba','Jujuy','Santa Cruz'), Valor = 1:24)
G_AR <- gvisGeoMap(data_AR, locationvar='Code',
numvar='Valor', options=list(region="AR",
displayMode="regions", resolution="provinces"))
plot(G_AR)
This code generates the Geomap displayed at the bottom of this post.
*Trying myself*
Following the logic in the above code, i tried my hand at doing the same
for Scotland. However problems occured instantly as
Scotland/England/NI/Wales are all part of GB.
Using ISO codes, i attempted to plot a map using the 32 different council
areas. ( ISO codes found at http://en.wikipedia.org/wiki/ISO_3166-2:GB )
There are 32 codes for council areas in Scotland, such as GB-HLD for the
Highlands.
Unfortunately all i got was a blank map of the UK, with boundaries still
broken up into the individual countries.
I can plot maps broken down by country using GB-SCT/GB-ENG/GB-NIR/GB-WLS
to display UK comparisons with my data, however I cannot display the
differences within the countries themselves. ( Which is something I would
very much like to do! )
I think this is a problem due to the fact geomap doesn't recognise any of
the GB countries as a region( i.e. region="gb" is valid, but region="sct"
is not), thus it cannot split out by anything other than the countries.
*Question*
I was wondering if anyone else has experienced similar problems and knows
if there is a way to get around it?
Currently the only alternative looks like using D3, but I would prefer to
keep it within R, as i'm combining my googlevis output with shiny
currently. ( And also, I'm a total Javascript newbie).
If anyone can help me out, It would be very VERY much appreciated
Cheers,
Euan
*Argentina example*
<https://lh3.googleusercontent.com/-F9oHU-BUF7c/U6wzqOQ-zlI/AAAAAAAAAAo/ti9RsRuf9FI/s1600/Argentina.png>
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