Hi Robert,
This morning I got the error below when I tried to install the latest
version of raster:
install.packages(raster, repos = http://R-Forge.project.org;)
Installing package into ‘C:/Users/Utilisateur/Documents/R/win-library/3.0’
(as ‘lib’ is unspecified)
source repository is
hi Jordan,
(off-list)
it sounds like your problem is not a good candidate for regression kriging. RK
(or the similar kriging with external drift, KED) require that you have
collocated dependent and independent variables so that you can actually run a
regression.
You could use cokriging,
Hi,I have the piece of code below which returns this error: Error in
clusterR(s, fun1, filename = f) : cluster error# Piece of code# x, y, z are
rasters# f is a filenamefun1 - function(x) { calc(x, fun = function(x)
{10 * (x[2] - x[3]) / ENV.LAPSERATE + x[1] })}s - stack(x, y,
Guillaume.
Alternatively you can download and then install from here:
http://r-forge.r-project.org/R/?group_id=294
Download the zip file and in Rgui use install packages from local zip file
Robert
On Wed, Nov 20, 2013 at 6:32 AM, Guillaume Drolet
droletguilla...@gmail.com wrote:
Hi Robert,
Hi,
For the sake of completeness: just a few days ago I received a comment
to a post about spplot and ggmap
(http://procomun.wordpress.com/2013/04/24/stamen-maps-with-spplot/).
There I was using a SpatialPointsDataFrame object. Because of that
comment I posted another example with
Hi Robert,
Thanks for your help. I thought that overlay didn't work with clusterR (see
?clusterR: ... For example, it works with calc but not with overlay.)
Is there any way to export variables to the clusters when using clusterR,
similar to when using clusterExport() with snow, or if it HAS to
Guillaume,
You cannot use an unevaluated variable in the clusterR fun function
as such variables are not exported to the nodes. It works by replacing
ENV.LAPSERATE with a number.
Also, note my different (matrix) notation in the function for calc,
but that for cases like this, where you want to
The manual is wrong. It should say that clusterR also works with
overlay if you use a single RasterStack or RasterBrick object as the
first argument (it would not work if you provided three RasterLayer
objects)
Yes, you can use clusterExport, by first calling getCluster() to get
the cluster
Hi,
I have a larger map that I want to clip using a another map. I found this code
on geo mailing list and it works and clips the map properly by the data layer
is lost. The code is below.
{
cz_zip - gIntersects(camapzip_temp,camap_base, byid=TRUE)
out - lapply( which(cz_zip) , function(x){
Hi all,
I'm doing a project for my course, and I got stuck understanding the
requirements of the project.
The project ask me to use 4 ways to do the spatial prediction:
regression-based predictors (no spatial component), ordinary kriging (no
regression component), universal kriging (regression
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