Maybe this is of interest to the folks in this list. My apologies for
cross-posting!
We have an exciting, 3-year position available at the Institute of Marine
Research in Norway under a new project aiming to develop coastal zone maps of
species and habitats.
You will find all the information
dict(m, OOB = TRUE, newdata = logo_df) logo$pc <- pc
HTH,
Ákos Bede-Fazekas
Hungarian Academy of Sciences
2018.12.04. 15:52 keltezéssel, Gonzalez-Mirelis, Genoveva írta:
> Dear list,
>
> I posted this question recently on another list so I apologize for any
> cross-posting. Still no so
Dear list,
I would like to use the 'predict' function in the 'raster' package in an
implementation of species distribution modelling with a couple of factor
variables. My case can be set up exactly as the cforest example listed in the
help file. Unfortunately, I cannot get the example to work:
OOB=TRUE, factors=f1)
Thank you all very much, and my apologies for wasting anyone's time.
Genoveva
From: Frede Aakmann Tøgersen <fr...@vestas.com>
Sent: Sunday, May 1, 2016 6:42 AM
To: Gonzalez-Mirelis Genoveva; r-sig-geo@r-project.org
Su
Dear list,
I am trying to use the function predict() (in package raster), where I supply:
the new data as a RasterBrick, the model (as fit in previous steps and using a
different dataset), and a few more arguments including the levels of my only
one categorical value. Here is the code I'm
Hi Eliane,
Not sure that it will work, but I would recommend converting your raster layers
to .tiff files prior to importing them into R. Then try
aa-raster('C:/QA_soil/inttotalrain.tif',datatype=INT1U)
(note the file extension, and data type argument).
Good luck!
Geno
hi list,
i am using R
Many thanks for looking into this Robert!
From: Robert J. Hijmans [mailto:r.hijm...@gmail.com]
Sent: April-04-13 17:53
To: Gonzalez-Mirelis Genoveva
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] seemingly unresolved problem with predict() in package
raster
cforest with factors
Hi all,
I have a problem with the function raster::predict very similar to the one
described here [1], [2] using raster package version 2.0-41 and party package
version 1.0-6, where my model is a conditional inference forest
(party::cforest). Could not find a solution in either post.
The