Help with maps

On Tue, Dec 2, 2008 at 6:21 PM, Avram Aelony <aavram at mac.com> wrote:
A few questions about maps...

(1) How can I find a listing of the internal data sets that map() from the maps library contains?
For example, "usa", "county", "state", "nz" all work.  Are there any others?
help(package = maps)
Thanks for this.
(2) Is there an easier, more generalized way to produce this (http://www.ai.rug.nl/~hedderik/R/US2004/ ) type of plot than this (http://www.ai.rug.nl/~hedderik/R/US2004/map.r ) ?  I have geographic (e.g. country, state, county, zip code) count data in a data frame that I would like to represent on a map, but still need to study how map.r works, especially the map.center function...
Yes, it's about six lines of ggplot2 code.  But a lot depends on the
format of your data, so if you could provide a reproducible example of
what you're trying to do, that would be very helpful.

What format is best?  I don't really have an example, because I only have a data frame with geo and count data.

The map() function gives me the following
d <- data.frame(map("county", plot=FALSE)[c("x","y")])
head> head(d)
          x        y
1 -86.81457 32.34920  #presumably latitudes and longitudes ???
2 -86.81457 32.33774
3 -86.80311 32.32628
4 -86.79737 32.32055
5 -86.78019 32.32628
6 -86.78019 32.34347

and I am not sure how to join this with data from a csv formatted file with columns for country, state, county, zip code, a, b, c, where a,b,c are integers.   Ideally, I'd like to show a map of the US by county that represents the sum of all "a" in that county with darker colors for larger values of x ...  Then I'd like to do the same for the UK.  If I could do the same at the zip code level for certain counties, that would be even better.
(3) The examples at http://had.co.nz/ggplot2/coord_map.html are great.  Adding another example that with color codes for counts from a data frame would be very useful too.
qplot(..., colour = count) ?
Doesn't that assume that county names and associated counts are mapped to lat/lon ?  How does the map() function understand "france" or "county" so that it can do this internally?  I'd like map() to figure out the lat/lon details.

head> head(d)   
          x        y
1 -86.81457 32.34920
2 -86.81457 32.33774
3 -86.80311 32.32628

Doesn't each row correspond to a vertex?  How to get from vertices to county names with associated counts?

(4) Is there a reason why I can produce a map of France but not the UK ?

library(maps)
library(ggplot2)
library(mapproj)
(qplot(x, y, data=(data.frame(map("france", plot=FALSE)[c("x","y")])), geom="path")) + coord_map()
(qplot(x, y, data=(data.frame(map("uk", plot=FALSE)[c("x","y")])), geom="path")) + coord_map()
Error in get(dbname) : variable "ukMapEnv" was not found
In addition: Warning message:
In data(list = dbname) : data set 'ukMapEnv' not found
map('world', regions="uk")

This produces a very small UK in the upper left quadrant.
Hadley

-- 
http://had.co.nz/

thanks again in advance
On Tuesday, December 02, 2008, at 04:40PM, "hadley wickham" <h.wickham at gmail.com> wrote:
On Tue, Dec 2, 2008 at 6:21 PM, Avram Aelony <aavram at mac.com> wrote:
A few questions about maps...

(1) How can I find a listing of the internal data sets that map() from
the maps library contains? For example, "usa", "county", "state", "nz"
all work.  Are there any others?
help(package = maps)
Thanks for this.

(2) Is there an easier, more generalized way to produce this
(http://www.ai.rug.nl/~hedderik/R/US2004/ ) type of plot than this
(http://www.ai.rug.nl/~hedderik/R/US2004/map.r ) ?  I have geographic
(e.g. country, state, county, zip code) count data in a data frame that
I would like to represent on a map, but still need to study how map.r
works, especially the map.center function...
Yes, it's about six lines of ggplot2 code.  But a lot depends on the
format of your data, so if you could provide a reproducible example of
what you're trying to do, that would be very helpful.
What format is best?  I don't really have an example, because I only have a
data frame with geo and count data.

The map() function gives me the following

d <- data.frame(map("county", plot=FALSE)[c("x","y")])
head> head(d)
          x        y
1 -86.81457 32.34920  #presumably latitudes and longitudes ???
2 -86.81457 32.33774
3 -86.80311 32.32628
4 -86.79737 32.32055
5 -86.78019 32.32628
6 -86.78019 32.34347

and I am not sure how to join this with data from a csv formatted file with
columns for country, state, county, zip code, a, b, c, where a,b,c are
integers.   Ideally, I'd like to show a map of the US by county that
represents the sum of all "a" in that county with darker colors for larger
values of x ...  Then I'd like to do the same for the UK.  If I could do
the same at the zip code level for certain counties, that would be even
better.

(3) The examples at http://had.co.nz/ggplot2/coord_map.html are great. 
Adding another example that with color codes for counts from a data
frame would be very useful too.
qplot(..., colour = count) ?
Doesn't that assume that county names and associated counts are mapped to
lat/lon ?  How does the map() function understand "france" or "county" so
that it can do this internally?  I'd like map() to figure out the lat/lon
details.

head> head(d)
          x        y
1 -86.81457 32.34920
2 -86.81457 32.33774
3 -86.80311 32.32628

Doesn't each row correspond to a vertex?  How to get from vertices to
county names with associated counts?

Don't restrict your output to only x and y then.  Have a look at:
map("county", plot=FALSE)$names

Here each row corresponds to the polygon (county) represented by the corresponding set of 
x and y values in d (up to the next NA).
(4) Is there a reason why I can produce a map of France but not the UK ?

library(maps)
library(ggplot2)
library(mapproj)
(qplot(x, y, data=(data.frame(map("france", plot=FALSE)[c("x","y")])),
geom="path")) + coord_map() (qplot(x, y, data=(data.frame(map("uk",
plot=FALSE)[c("x","y")])), geom="path")) + coord_map()
Error in get(dbname) : variable "ukMapEnv" was not found
In addition: Warning message:
In data(list = dbname) : data set 'ukMapEnv' not found
map('world', regions="uk")
Again:
map('world', regions="uk")$names
shows you all the islands that are also associated with the UK.

The easiest way would be:
map('world', regions="UK", xlim=c(-10, 5), ylim=c(48, 60))

then use map.axes() to refine this.

HTH
Ray Brownrigg
MSCS, Victoria University of Wellington
This produces a very small UK in the upper left quadrant.

Hadley

--
http://had.co.nz/
thanks again in advance

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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal,
self-contained, reproducible code.

The easiest way would be:
map('world', regions="UK", xlim=c(-10, 5), ylim=c(48, 60))

But of course:

map('world', regions=c("UK", "Ireland"), xlim=c(-10, 5), ylim=c(48, 60))

might be more appropriate.

HTH
Ray Brownrigg
MSCS, Victoria University of Wellington
aha!, thanks for this.
Avram

On Wed, 03 Dec 2008, Ray Brownrigg wrote:

The easiest way would be:
map('world', regions="UK", xlim=c(-10, 5), ylim=c(48, 60))

But of course:

map('world', regions=c("UK", "Ireland"), xlim=c(-10, 5), ylim=c(48,  
60))

might be more appropriate.

HTH
Ray Brownrigg
MSCS, Victoria University of Wellington