Hi Sadz,
Am 28.02.2011 01:54, schrieb Sadz A:
Hi,
I'm trying to predict the distribution of timber over an area, I have point
location data- so it would make sense to use a krigging to interpolate the
data
over the whole map. Unfortunately the krigging predictions are pretty bad.
On 02/28/2011 04:59 PM, Robin W Hunnewell wrote:
Hi,
I'm going through some initial data inspection, and working through steps in
the
Applied Spatial Data analysis with R book.
Following steps in Ch. 2 of the Applied Spatial Data analysis with R book,
I
was able toextract a set of
Hi Robin,
could you please post some example code (possibly self-contained, e.g. with
meuse data)?
So it's less guessing what you actually did. More on this topic:
http://www.r-project.org/posting-guide.html
regards,
Tom
Am 28.02.2011 16:59, schrieb Robin W Hunnewell:
Hi,
I'm going through
Hi again,Thanks, sorry about that - here is the code to illustrate what I did -following the ASDAR book example of choosing a subset of coordinates in Brazil: brazil[1] 4 5 6 7 8 coordinates(CRAN_sp[brazil, ])coords.x1 coords.x24 -49.26667 -25.416675 -42.86667 -20.750006 -43.2 -22.97
On Mon, 28 Feb 2011, Robin W Hunnewell wrote:
Hi again,
Thanks, sorry about that - here is the code to illustrate what I did
- following the ASDAR book example of choosing a subset of coordinates in
Brazil:
Thanks for a clear report, this was a bug introduced three months ago. A
patched sp
Don,
The colortable is apparently not preserved when using crop() from the
raster package. This is something I would find useful.
I agree. Color table support is relatively recent and it is ignored by most
functions (and hence lost when using crop). That needs improvement.
(also, is there
Dear Colleagues,
Good day!
I have a data points collected using GPS..It was on latitude and longitude
coordinate system ..I wonder if there's any function in R where I could convert
those GPS data points to UTM (e.g. UTM Zone 51N)?
Thanks in advance
Arnold
[[alternative HTML version
The rgdal package has the project() function for direct conversion
to/from longlat (WGS84) - via the PROJ.4 library, via GDAL - all
embedded in the package.
library(rgdal)
xy - cbind(c(118, 119), c(10, 50))
project(xy, +proj=utm +zone=51 ellps=WGS84)
[,1][,2]
[1,] -48636.65 1109577
I just noticed that proj4 package has been updated after several years of
stasis, this might be helpful if rgdal is overkill for you:
library(proj4)
ptransform(cbind(xy)/180*pi, +proj=longlat +ellps=WGS84, +proj=utm
+zone=51 +ellps=WGS84)
[,1][,2] [,3]
[1,] -48636.65 11095770
