ons. 2. What I´m doing bad? 3. Why it
is not using all the 39 processors, or if it uses them, why it doesn't use
them at the maximum level? 4. Why it not begins another task (run an other
process, e.g., the process 40) when it finishes one (I suppose it because
it always write the files in b
Hi dear list members.
I'm trying to predict from a maxent() model constructed with 19
bio-variables from worldclim, a higher resolution model (30m) with 19
bio-variables constructed from Tps() interpolation for climatic station
data.
Hear is my short script:
#each one corresponds to a raster sta
right way.
I am looking predict something illustrative to take a comparison point with
a LUCC prediction model, I can not spend much time on this. Does anybody
can help me with a simple idea.
Thanks in advance, and my best regards.
--
Jaime Burbano Girón
Maestría en Ciencias Biológicas - Ecología
nimize the effect of spatial
auto-correlation?
Regards to all and thanks in advance for your help.
--
Jaime Burbano Girón
Maestría en Ciencias Biológicas - Ecología
Universidad Nacional de Colombia
Bogotá - Colombia
(57) 3168573713
[[alternative HTML versi
Hi everybody. I need to convert one polygon to a raster object. I've looked
at the packages: sp, rgdal and raster, quickly, but I didn´t find how to do
this, just there are commands to perform the otherwise operation, can
someone help me with it? Thanks in advance.
--
Jaime Burbano
Hi everybody, I would like to plot an histogram with the axes inverted,
i.e., I want to plot in "x" the frequency, and the breaks in "y". If someone
can bring me an idea to do this, or a function which allows it, I´ll
appreciate the help so much. Thanks in advance.
--
ascii grid
of slope values projected onto the desired area
Raster2 <- interpolate(Elevacion, Slope, Eva2, xyOnly=FALSE)
RasterSe2 <- interpolate(Elevacion, Slope, Eva2, xyOnly=FALSE, fun=
predict.se)
but "interpolate" function presents this error: "Error in model$terms : $
operator