Claudia,

You should cc r-help on all correspondence so that others can follow the
thread.

In the second paragraph of the link I sent you
     http://www.r-bloggers.com/maps-in-r-choropleth-maps/
a link is provided for the NUTS data,
     "The polygons for drawing the administrative boundaries were obtained
from this link. In particular, the NUTS 2010 shapefile in the 1:60 million
scale was downloaded and used. The other available scales would allow the
drawing of better defined maps, but at a computational cost. The zipped
file has to be extracted in a folder of choice for using it later."

http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1

If you want to follow the example, you will need to download this data to
your computer and then make sure that you refer to the appropriate
directory when using the readShapePoly() function.

Jean



On Wed, Oct 30, 2013 at 11:14 AM, <paladini@trustindata.de> wrote:

> Hi Jean,
> thank you for your advice.
> The page looks quite interesting and I tried the example in  GNU R. I did
> all the downloads.
> But
> Just in the beginnig after typing
>
> eurMap <- readShapePoly(fn="NUTS_2010_**60M_SH/Shape/data/NUTS_RG_60M_**
> 2010")
> I get the following error message:
>
> Error in getinfo.shape(filen) : Error opening SHP file
>
> To you have an idea what I did wrong?
>
> Thanks a lot and best regards
>
> Claudia
>
>
>
>
> Zitat von "Adams, Jean" <jvadams@usgs.gov>:
>
>  Check out this link for some examples
>>     http://www.r-bloggers.com/**maps-in-r-choropleth-maps/<http://www.r-bloggers.com/maps-in-r-choropleth-maps/>
>>
>> Jean
>>
>>
>> On Tue, Oct 29, 2013 at 12:02 PM, <paladini@trustindata.de> wrote:
>>
>>  Hello,
>>> I would like to draw a map of Europe. Each country should be colored
>>> depending on how it scores in an index called GPIndex.
>>> Say a dark red for real bad countries a light red for those which are not
>>> so bad, light blue for the fairly good ones and so on up to the really
>>> good
>>> ones in a dark blue.
>>> I never worked with geographic maps before so I tried library maps but I
>>> didn't get far,- especially because all examples I found only seem to
>>> work
>>> for the United states. So I'm a bit lost.
>>> I would be nice if somebody could help me.
>>>
>>> Thanking you in anticipation!
>>>
>>> Best regards
>>>
>>> Claudia
>>>
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>

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