I have the following problem:
I am using the reprojectHDF() function (http://r-gis.net/?q=ModisDownload
I change the input syntax:
input-list.files(path=.,.hdf,all.files=T,recursive=T)
and now my error is:
reprojectHDF(hdfName=input,filename=outname,MRTpath=~/MRT/bin,+
resample_type=NEAREST_NEIGHBOR,+
It seems you cannot change the fit.method from autoKrige or
autofitVariogram, it uses the default from gstat::fit.variogram, which
is method 7.
However, you should probably first try to see why you get the error and
what is zero. I assume that your error is that you have zero distances
Hi
It seems that you need to set an environment variable used by programs in
~/MRT/bin. I don't have this installed so please have a look for some README
files in ~/MRT or other places to find which value the variable are supposed to
have.
In R before calling reprojectHDF() do a:
Hi,
I have a 4D climate model output that I am trying to work with via raster,
and that is unfortunately giving problems. I create the object as a brick:
b
class : RasterBrick
dimensions : 220, 254, 55880, 756 (nrow, ncol, ncell, nlayers)
resolution : 1, 1 (x, y)
extent : 0.5,
Dear R-sig-geo,
is anyone interested in working together on a submission for the below
mentioned special issue of SPASTA?
The situation is as follows:
We have about 3.5 yrs worth of temperature and humidity data from Mt.
Kilimanjaro at hourly resolution. In addition we have numerous
Greatthanks so much!
Sincerely,
Erin
From: Jon Skoien [jon.sko...@jrc.ec.europa.eu]
Sent: Tuesday, July 29, 2014 2:06 AM
To: Hodgess, Erin; r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] how to change the fit.method from autoKrige, please
It seems
Are you sure that your b is still really a RasterBrick? That message
comes if you give the functions character:
library(raster)
dropLayer(sometext, 1)
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘dropLayer’ for
signature ‘character’
(Basically
Hi everybody,
I would like to try to work with generalized Additive Models to interpolate
some climatic data and to build a Species Distribution Model. The aim is to
check performances comparing them with works made by my colleague.
I was wondering:
Which R package is the most complete?
here
Hello list,
I'm modeling counts of organisms over time at eleven locations. I'd like to
account for temporal autocorrelation in the counts (assuming it's present),
which I'm exploring (and fitting) using gstat's variogram function on the
residuals of a generalized linear model not incorporating
Hello again!
I was using autoKrige (finally successfully!) and was looking at the model
results. I got anis1 of 1,1 and anis2 of 1,1.
How does this relate to the anis in the vgm function, please?
Thanks,
Erin
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Hi Maurizio,
If your main interest is distribution modelling I would skip the GAM's and
their inherent problems with overfitting, covariates with high correlations,
etc. and use something like Random Forests or Generalized Boosting
Models/Boosted Regression Trees. They have proven to be
Hi List,
surely others have come across this and the solution is probably simple - I
cannot find it online anywhere. I am trying to plot a gtiff raster (produced
in grass 6.4.2, lzw compression)
image(rs) works fine but when trying to use plot I get the following error
message:
Error in
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