Michael, to be hounest, it even surprised me, being the author, that
data(meuse.grid)
gridded(meuse.grid) = ~x+y
fullgrid(meuse.grid) = TRUE
image(meuse.grid[104:1,])
would not flip the image. It just works hard to not destroy the spatial
location of all individual pixels -- it will select all
Hi Eduardo,
Please also take a look at the archive of r-sig-geo, there are earlier
questions that have been answered on variograms in plots:
http://www.mail-archive.com/r-sig-geo@stat.math.ethz.ch/msg05795.html
cheers,
Paul
Edzer Pebesma wrote:
Eduardo Bustos wrote:
Dear List:
I need
Marcelo,
Surprisingly, I could not find any function in the spatstat package (or splancs
package) that
specifically derives cross-correlations between multiple point processes:
data(lansing)
plot(split(lansing)) # distribution of occurrence records for five+1 species;
Why is not spatstat on the repositories? Why do we
have to download the gz file and install from the local file?
Thanks
Agus
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On Tue, 3 Nov 2009, Agustin Lobo wrote:
Why is not spatstat on the repositories? Why do we
have to download the gz file and install from the local file?
Agus,
Please try CRAN alternative mirrors, maybe yours is down or stale. The
package is vital for many people and is certainly available
It is on the Austrian repository now (I always use it so don't have
to scroll down), but it was not there earlier this morning, have
upgraded to R2.10 and have been updating packages.
Anyway, problem solved!
Agus
Roger Bivand wrote:
On Tue, 3 Nov 2009, Agustin Lobo wrote:
Why is not
Dear Murray and list,
repairing the memory leaks turned out to be a more fun job than I
thought it would be. Memory leakage mainly took place in the
neighbourhood search algorithm (nsearch.c) which uses a quadtree for 2
and octtree (octree?) for 3-dimensional data. As you can guess, the code
is
Hi everybody,
Im using correlog in package ncf to evaluate spatial autocorrelation of
my data, following these steps:
setwd (C:/Documents and Settings/
bio - read.table(bio3.csv, header=TRUE, sep=,)
str(bio)
library(ncf)
wow-correlog(t1$x, t1$y, t1$z, w = NULL, increment=50, resamp
Dear All,
I did not realize that there was a compiled version of the Rcartogram
library, with the fftw included, ready for use with R for Windows 2.9:
http://www.omegahat.org/R/bin/windows/contrib/2.9/
Nicholas Lewin-Koh pointed this out to me. I'm very thankful to know
this. Thank you to
Marcelo Tognelli mtogne...@lab.cricyt.edu.ar writes:
I have probability maps of the distribution of 4 species of venomous snakes
(raster files output from species distribution modeling software) and point
locality data with information on snake bite events (most of them without
the id of the
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