data and the window.
thanks,
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Streethttp://www.math.yorku.ca/SCS/friendly.html
Toronto,
Thanks very much, Adrian.
-Michael
Adrian Baddeley wrote:
> On Tue, 13 Mar 2007, Michael Friendly wrote:
>
>
>>I've read the documentation, but can't find an example of how
>>to specify a circular window for the ppp object that would contain the
>>dat
ng.Units
M1B 496
M1C NA
M1E 1226
M1G 521
M1H 149
M1J 173
>
So, I now want to merge torontoR with crimeTO using FSA (or
rownames(crimeTO)) as the area ID
and write new files so I can avoid doi
0 Median :28.00 Median :16.00 Median
: 685
Mean :20.05 Mean :5.412 Mean :31.31 Mean :16.16 Mean
: 995
3rd Qu.:25.00 3rd Qu.:7.000 3rd Qu.:45.00 3rd Qu.:19.00 3rd
Qu.:1276
Max. :41.00 Max. :9.000 Max. :64.00 Max. :30.00 Max.
:9289
NA's :
Edzer Pebesma wrote:
Michael Friendly wrote:
Two short questions about working with maps:
1. I'm reading a shapefile with character labels for the regions
(FSA). I can add the labels using plot(),
but when I try the same thing using spplot(), the labels are in the
wrong positions --
x pixel coordinates of Toledo and Rome in the image, measured
from the *top left* corner as (0,0)
toledo.map <- c(130, 119)
rome.map <-(505, 59)
Here's where I'm stumped. How can I recreate a version of van Langren's
graph shown on top of
either the gi
1252;LC_NUMERIC=C;LC_TIME=English_United States.1252
attached base packages:
[1] splines grid stats graphics grDevices utils
datasets methods
[9] base
other attached packages:
[1] ggplot2_0.7 MASS_7.2-44RColorBrewer_1.0-2
proto_0.3-8
[5] reshape_0.8.2
ompt() just
dumps the entire results of str(gfrance85); I can of course edit out the
@ polygons list.
Is this the recommended way to include such objects in packages?
Thanks,
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University
ish way to organize the data and map info and make these and
other plots.
More generally, I would welcome any other contributions to this project.
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736
make this more spatial-friendly in a package? I
don't know what a lot of
that stuff means, but if I'm creating a package, I'd like it to be
minimally sufficient for others to
use in different contexts.
-Michael
Roger Bivand wrote:
On Sat, 17 Oct 2009, Michael Friendly wrote:
Hi
'blue')
For polygons, I think that it should be a little bit more
complicated.. but I have no time today to have a look at it.
Is it correct Roger?
Cheers.
Roger Bivand wrote:
On Fri, 30 Oct 2009, Michael Friendly wrote:
Hi
In a new package, HistData, on R-Forge, I have a collecti
hanks,
-Michael
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Streethttp://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
__
rlapping polygons, interpolygon slivers, etc.).
Roger
HTH
David
Michael Friendly a écrit :
The Guerry package contains two maps of france (gfrance, gfrance85)
which are quite detailed and large in size (~900K).
In writing a vignette for the package, there are quite a few figures
that use the map
lygons object. The CRS also needs copying
across. The objects are rebuilt to correct areas, centroids, plot
orders, and the bounding box, all of which may change. For figures,
the companion thread on R-help is relevant, PDF output for choropleth
maps is often a good deal larger in file size
gt; sessionInfo()
R version 2.11.1 (2010-05-31)
i386-pc-mingw32
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base
<- i+1
Lines(Line(x), as.character(i))
})
rm(i)
Snow.streets.sp <- SpatialLines(Lsl1)
which now lets you index Snow.streets.sp, as in
Snow.streets.sp[100] # or
Snow.streets.sp["100"]
BTW it's the first time I advice someone to use <<- and I'd be hap
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