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, <palad...@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" <jvad...@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, <palad...@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" <jvad...@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, <palad...@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 >>>>> >>>>> ______________________________******________________ >>>>> R-help@r-project.org mailing list >>>>> https://stat.ethz.ch/mailman/******listinfo/r-help<https://stat.ethz.ch/mailman/****listinfo/r-help> >>>>> <https://**stat.ethz.ch/mailman/****listinfo/r-help<https://stat.ethz.ch/mailman/**listinfo/r-help> >>>>> > >>>>> <https://stat.**ethz.ch/**mailman/listinfo/r-**help<http://ethz.ch/mailman/listinfo/r-**help> >>>>> <http**s://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >>>>> > >>>>> >>>>> > >>>>> PLEASE do read the posting guide http://www.R-project.org/** >>>>> posting-guide.html >>>>> <http://www.R-project.org/****posting-guide.html<http://www.R-project.org/**posting-guide.html> >>>>> <http://www.**R-project.org/posting-guide.**html<http://www.R-project.org/posting-guide.html> >>>>> > >>>>> >>>>> > >>>>> >>>>> and provide commented, minimal, self-contained, reproducible code. >>>>> >>>>> >>>>> >>> >>> > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
