Hi Jim,
thats the second time that you helped me in a short while so thanks a lot!
But it seems to me quite laborious and error-prone to first select
all the relevant countries in this long list and then to create a
color vector.
But perhaps I get it all wrong.
For the color vector I first did this
imagecolors<-color.scale(mydata$GPIndex ,c(1,0,0),0,c(0,0,1))
because I wanted the colors to scale from dark red (bad ones) to dark
blue (good ones).
But it went somehow wrong. By the way can you tell me what I did wrong?
Nevertheless I than createt a color vector looking loke this:
eurocol=c("#FF0000FF",8,"#710000FF","#390000FF",8,8,"#390000FF",rep(8,10),"#2F0000FF"
,8,"#000000FF",8,"#000000FF","#000000FF" ,"#000055FF",8,"#000064FF",2,
"#000083FF",8,8,"#00008BFF" ,"#0000F0FF" ,rep(8,20),"#0000F7FF"
,rep(8,18),"#0000FFFF", rep(8,120))
And than
world.map<-map('world', fill = TRUE,col =eurocol
,xlim=c(-12,35),ylim=c(37,70))
Beside the wrong colors it worked okay.
But I am not really happy with this solution.
Did I misapprehend you?
Best regards and thanks again
Claudi
Zitat von Jim Lemon <j...@bitwrit.com.au>:
On 10/30/2013 04:02 AM, 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.
Hi Claudia,
If you draw a map of Europe something like this:
world.map<-map('world', fill = TRUE,
col = 1:10,xlim=c(-15,40),ylim=c(37,70))
you have a "col" argument that you can pass the colors you want.
What you must do is look at the "names" component of "world.map":
$names
[1] "Denmark"
[2] "USSR"
[3] "Italy"
[4] "Netherlands"
[5] "Iraq"
...
to get the indices of the countries. Say Denmark was fairly good,
USSR was fairly bad, and so on. You could then pass colors like this:
col=c("lightblue","lightred",...)
in the call to map for as many countries as you wanted. Pass NA for
those countries that you don't want to color.
Jim
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