[R] labelCoubtries() doesn't work. Where is my mistake?
Jim Lemon
drjimlemon at gmail.com
Sun Jan 18 21:53:08 CET 2015
Hi Claudia,
You're right, when the map is maximized the coordinates of the objects
aren't maintained. I wrote a simple example using boxed.labels instead
of identifyCountries:
mapCountryData(mapRegion="europe", oceanCol="slateblue1",
missingCountryCol="darkgrey", colourPalette=c("palegreen","darkgreen"),
mapTitle="European Participation Index")
require(plotrix)
loc_box_lab<-function(x,...) {
for(boxlab in x) {
cat("Click in",boxlab,"\n")
boxed.labels(x=locator(1),labels=boxlab,...)
}
}
country_labels=c("UK","France","Spain","Germany","Italy","Holland",
"Denmark","Norway","Sweden","Greece")
loc_box_lab(country_labels)
and when the labels were initially placed, they looked fine. Upon
maximizing the graphics window, not only were the labels displaced,
but the color legend at the bottom was as well. It appears to be
connected with the aspect ratio of the image. However, if I draw the
initial map using:
require(maps)
map(xlim=c(-10,50),ylim=c(35,70))
and then add the labels in the same way, the spatial relationship of
labels and map stays the same when maximized .
Jim
On Mon, Jan 19, 2015 at 2:24 AM, <paladini at trustindata.de> wrote:
> Hi Jim,
> thanks again for your help! Yes I am using the "rworldmap" package.
> identifyCountries() works.
> But I am not entirley happy with this solution. You have to click on all 27
> countries and when your position is not perfect you get e.g. "Vatican" or
> "Monaco" instead of "Italy" and you have to start all over again. Moreover
> when I maximize the picture all country-labels vanish or shift to the wrong
> place.
> There ought to be a way to do it somehow more comfortable.
>
> Have a nice sunda and best regards!
>
> Claudia
>
>
> .
> Zitat von Jim Lemon <drjimlemon at gmail.com>:
>
>
>> Hi Claudia,
>> It seems that you are using the "rworldmap" package. The simplest
>> solution to your problem seems to be the "identifyCountries" function.
>> Just call:
>>
>> identifyCountries()
>>
>> instead of "labelCountries" and left click on the countries you want
>> labeled.
>>
>> Jim
>>
>>
>> On Sat, Jan 17, 2015 at 3:33 AM, <paladini at trustindata.de> wrote:
>>>
>>> Hello,
>>> I have problems to label countries in my map.
>>>
>>> I use the following code to draw the map:
>>>
>>>
>>>
>>> epimap=joinCountryData2Map(epidata,joinCode="NAME",nameCountryColumn="Country",nameJoinColumn="Country")
>>> mapCountryData(epimap, nameColumnToPlot="EPI.2.0" ,mapRegion="europe",
>>> oceanCol="slateblue1",
>>> missingCountryCol="darkgrey", colourPalette=c("palegreen","darkgreen"),
>>> mapTitle="European Participation Index")
>>>
>>> That works without any problems.
>>>
>>> When I use labelCountries() afterwards all countries are named,
>>> including
>>> Isle of Man, San Marino etc.
>>> and the map becomes quite confusing.
>>>
>>> Therefore I want to label only the 27 countries contained in my data.
>>>
>>> In order to get their coordinates I use the following routine:
>>>
>>> country_index= c()
>>> j=1
>>> for (i in 1:244){
>>> if (!is.na(epimap[["Country"]][i])){
>>> country_index[j]=i
>>> j=j+1
>>> }
>>>
>>>
>>>
>>> }
>>>
>>> LON=epimap[['LON']][namei]
>>> LAT=epimap[['LAT']][namei]
>>>
>>> epidata_spat=cbind(epidata, LON,LAT)
>>>
>>> It is a bit pedestrian but I dont't know how to do it more elegantly.
>>> Nevertheless it works.
>>>
>>> Now I use
>>>
>>>
>>> labelCountries(dF="epidata_spat",nameCountryColumn ="Country",
>>> nameX="LON",
>>> nameY="LAT")
>>>
>>>
>>> But nothing happens. There is neither an error message nor
>>> country-labels.
>>>
>>> I haven't the faintest idea why it doesn't work or how to do it properly.
>>> It would be really nice if somebody could help me.
>>>
>>>
>>>
>>> Best regards and thanking you in anticipation!
>>>
>>> Claudia
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> 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.
>
>
>
More information about the R-help
mailing list