Michael Sumner wrote:
Here's one way. I'm not sure about how to control the aspect ratio
(something I've been meaning to check for a while now).
somewhat of a non-newby answer to Michael: asp is set in plot.Spatial,
and if the default value of NA is passed, set to:
if (is.na(asp)) asp
Here's one way. I'm not sure about how to control the aspect ratio
(something I've been meaning to check for a while now).
library(sp)
data(volcano)
x <- 10*(1:nrow(volcano))
y <- 10*(1:ncol(volcano))
## image xyz list
imlist <- list(x = x, y = y, z = volcano)
## SpatialGridDataFrame (image2Grid
At the suggestion of Walmes Zeviani I downloaded and am taking a look at the sp
package.
In an attempt to get going, can someone offer a suggestion about how to convert
the below over to a version that uses the sp package?
data(volcano)
x <- 10*(1:nrow(volcano))
y <- 10*(1:ncol(volcano))
imag
Hi again,
Thanks to those who helped me with my earlier post. I've installed rgdal and
have made some progress but I'm now stuck on an error message that I don't know
how to interpret.
I have imported one shapefile that is projected in the CRS that I want. I then
import another shapefile that
Here's a link to a blog entry I've just written on my code for doing this:
http://geospaced.blogspot.com/2010/01/generating-fake-geographies.html
The code isn't available yet, it needs a bit of cleaning up and
documenting, but if anyone wants the raw code then I can scrape it up
for you!
Barry
On Mon, 4 Jan 2010, Peter Adler wrote:
Dear R-sig-geo,
I am new to RGDAL and PROJ4, and am having trouble projecting a raster
dataset.
The dataset is a 721 x 721 cell raster of snow cover from the NSIDC. The
projection information is here:
http://nsidc.org/data/atlas/epsg_3408.html
My com
Dear R-sig-geo,
I am new to RGDAL and PROJ4, and am having trouble projecting a raster
dataset.
The dataset is a 721 x 721 cell raster of snow cover from the NSIDC. The
projection information is here:
http://nsidc.org/data/atlas/epsg_3408.html
My command:
D=readGDAL("annual_snow_trend_ease
Dear Patrick & Renaud,
Categorical maps are one of the issues we have looked at in a new
package 'rworldmap' that we've been developing. Coincidentally I
submitted the first version to Cran for consideration yesterday.
The package and source can currently be downloaded from :
http://code.google
