mapping data to a geographic map of Europe

Claudia,

I have not worked through the example myself.  Since you seem to be getting
errors, perhaps a different example would help.  Here are some more
choropleth maps (although these use US states rather than European
countries).

http://blog.revolutionanalytics.com/2009/11/choropleth-challenge-result.html

Jean



On Fri, Nov 1, 2013 at 12:04 PM, <paladini at trustindata.de> wrote:

Hi Jean,
thanks again for your response. As I told you  I did the downloads and
double checked if I selected the right directory.
But I noticed right now what happend:
The command in the example is :

eurMap <- readShapePoly(fn="NUTS_2010_**60M_SH/Shape/data/NUTS_RG_60M_**
2010")

But it should be :
eurMap <- readShapePoly(fn="NUTS_2010_**60M_SH/data/ggg/NUTS_RG_60M_**
2010")

Because if you do the downloads and unzip these data there is no such
think as a "Shape" directory.

Now eurMap <- readShapePoly(fn="NUTS_2010_**60M_SH/data/NUTS_RG_60M_2010")
works.


What happens now is that after typing:
eurEduMapDf <- merge(eurMapDf, eurEdu, by.x="id", by.y="GEO")
I get another error message because "eurMapDf" is unknown.

So I supposed it should be:
eurEduMapDf <- merge(eurMap, eurEdu, by.x="id", by.y="GEO")

But this doesn't work either.The error message this time is: undefined
column selected.

Did I do something wrong?



Best regards

Claudia








Zitat von "Adams, Jean" <jvadams at usgs.gov>:

 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/<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<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 at 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 at 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/>
<htt**p://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 at 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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