You may have to make the two trajectories regular with the same interval.
Package adehabitatLT has functions to do this.
Cheers
Li
From: R-sig-ecology [r-sig-ecology-boun...@r-project.org] on behalf of Sarah
Goslee [sarah.gos...@gmail.com]
Sent: Thursday
HI, Raj
Firstly make sure you copy and pasted maxent.jar to the folder
...\R-x.x.x\library\dismo\java, the "R-x.x.x" is your R fold.
Secondly, make sure you have administrative right to your PC.
Good luck
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ec
HI, Raj
1100 points is not huge. Anyway, there are a number of ways to extract values
from raster layers.
1. Suppose you sample points are an excel datasheet of X (longitude) and Y
(latitude). Saving it as .csv file, then read it into R as spatial data:
Samples<-SpatialPoints(read.csv("y
Hi, Raj
After installing the dismo package from R (menu -> packages->install package(s)
from local zip files), paste the file 'maxent.jar' in R -> library -> dicmo
->java.
Cheers
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ecology-boun...@r-project
HI, Jari
The default in the Welch t test (an adaptive student's t test) doesn't assume
equal variance; but student's t-test do assume normal distribution.
Cheers
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ecology-boun...@r-project.org] On Behalf Of Ja
es
with the 'dismo' package:
http://cran.r-project.org/web/packages/dismo/vignettes/sdm.pdf
Robert
> Li Wen-2 wrote
> > Dear list member
> >
> >
> >
> > I have fitted a Random Forest model for species distribution, and want to
> > u
Thanks, Doug
It seems that Biomod is the one I am after. Thanks again.
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ecology-boun...@r-project.org] On Behalf Of doug.leasure
Sent: Wednesday, 6 March 2013 9:30 AM
To: r-sig-ecology@r-project.org
Subject: Re
the moment.
Cheers,
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig-ecology-boun...@r-project.org] On Behalf Of Nicole K.S. Barker
Sent: Wednesday, 6 March 2013 5:00 AM
To: Li Wen
Cc: r-sig-ecology@r-project.org
Subject: Re: [R-sig-eco] Projecting model to lan
Dear list member
I have fitted a Random Forest model for species distribution, and want to
use it to project the model to a defined landscape (i.e. forecasting for all
grids in an area) . The landscape has all the environment covariates
(rasters) and cover a large region (over 1000*1000 grids).
HI, Lin
You might "normalize" your predictors before the GLM, this allow you to
directly compare the contributions by looking at the fitted coefficients, as
all your Xs have 0 mean and 1 standard deviation.
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-si
Hi, Saskia,
Have a look at the package gamlss by Mikis Stasinopoulos and Bob Rigby. They
also have a comprehensive textbook (plus lots of examples) which you can
download from http://www.gamlss.org/.
Cheers,
Li
-Original Message-
From: r-sig-ecology-boun...@r-project.org
[mailto:r-sig
Dear List members,
I am trying to fit mixed models with lmer4. Sometimes I got negative AIC. Is
this normal? If so, when comparing models, should I use the absolute value of
AIC or just the smallest AIC?
Thanks,
Li
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