Thank you for the confirmation!
On Wed, Jun 5, 2019 at 11:07 AM Roger Bivand wrote:
> On Wed, 5 Jun 2019, Justin Schon wrote:
>
> > Hello all,
> >
> > I've seen that a lot of people ask about this, but I am interested in
> > whether there may be any developments here. Is there a predict
On Wed, 5 Jun 2019, Justin Schon wrote:
Hello all,
I've seen that a lot of people ask about this, but I am interested in
whether there may be any developments here. Is there a predict function
that works for splm objects?
Note that I am not referring to spLM objects, which often comes up for
Hello all,
I've seen that a lot of people ask about this, but I am interested in
whether there may be any developments here. Is there a predict function
that works for splm objects?
Note that I am not referring to spLM objects, which often comes up for me
when I google this question.
I found a
Thank you very much for the help Robert!
Works wonders.
-Such a simple addition to the loop to fix the naming of layers :).
This raster package is so brilliant.
atb, Kristin
--
View this message in context:
I have a gam model with predictor names (variables) par, chl, sst, lat and
lon. The model I called gammodel.
Then I have predictors for 96 day period in raster stacks: stackpar,
stackchl, stacksst
-that is 3 different raster stacks - each one with 96 layers.
lat and lon are fixed in time and are
Kristin, I think you can do something like this:
lst - list()
for(i in 1:96) {
Predictors - stack(stackchl[[i]], stacksst[[i]], stackpar[[i]], lat, lon)
names(Predictos) - c('chl', 'sst', 'par', 'lat', 'lon')
lst[[i]] - predict(Predictors, gammodel, na.rm=TRUE, type=response)
}
s -
Hi,
I edited the same question to a better understanding.
I hope someone can help with the issue about a prediction using a model with
factors in package ‘raster'.
I would like to do the same that shows this code from BRT vignette:
Example BRT
library(dismo)
,
Research Fellow,
Space Applications Centre, ISRO,
Ahmedabad, India
-
Message: 5
Date: Mon, 10 Nov 2014 16:43:46 -0200
From: Thiago Cesar Lima Silveira thiagoclsilve...@yahoo.com.br
To: r-sig-geo@r-project.org
Subject: [R-sig-Geo] Predict GAM model with categorical
Hi,
Sorry, I've posted the
code with some mistakes.
Consider the code below.
I've one response, and two predictors,
v1 (numeric) and v2 (factor).
So, I have just one predictor
which is possible to have a raster, the other is a categorical
variable.
How to predict to rasters considering
Hi Dhyey Bhatpuria,
Sorry, I've posted the code with some mistakes.
Consider the code below.
I've one response, and two predictors, v1 (numeric) and v2 (factor).
So, I have just one predictor which is possible to have a raster, the other
is a categorical
variable.
How to predict to rasters
Hi,
I'm experiencing some problems to predict a
gam model with factor as predictor to raster stack.
I wrote an example code to illustrate the problem.
This is the error message when I try to predict with a model with factors:
'Error in `[.data.frame`(blockvals, , f[j]) : undefined columns
## Disregard the code sent before, this is the right
Hi,
I'm experiencing some problems to predict a
gam model with factor as predictor to raster stack.
I wrote an example code to illustrate the problem.
This is the error message when I try to predict with a model with factors:
'Error in
Hello,
I apologize if this question has already been answered. I couldn't find
anything after extensive search.
I ran a spatial panel model on a subset of my data, and would like to use the
resulting splm object
to predict the fitted values for the rest of the data.
The predict command
Hi,
I would like to make a raster, based on the regression coefficients with 5
other rasters (Predictors). In theory this should be easy using the predict
function of the raster package
(http://cran.r-project.org/web/packages/raster/raster.pdf). But I fail to get
it to work.
First I fit a
Hi Hein,
I'm not sure if this will help, but one thing to check is that your
prediction grid has covariate data for each of the 40,000 cells. If a large
number of cells have 'NA' as data values, then sometimes the prediction will
not work. Offhandedly, it strikes me that ycoord may be limited
Hein,
I think this problem goes away if you use a clean formula, like this:
model - glm(t0~ycoord+prec+tempmean+tempmax+tempmin,
family=binomial(link=logit), data=c3p)
Robert
On Thu, Apr 4, 2013 at 7:42 AM, Jesse Berman berman.je...@gmail.com wrote:
Hi Hein,
I'm not sure if this will
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
Jaime,
Please do not cross-post your questions, and provide sessionInfo() results
when reporting something that does not work. I think this error means that
you do not have maxent.jar installed. What does maxent() return?
Robert
On Wed, Oct 31, 2012 at 4:14 AM, Jaime Burbano Girón
On Fri, 30 Mar 2012, Smit, M.J. wrote:
Dear list members,
I want to do a scenario analysis: run a regression on the real data, then make
some changes to that, and do a prediction based on the changed data. There is a
predict command under sarlm for this, and it works. However, I have two
Dear list members,
I want to do a scenario analysis: run a regression on the real data, then make
some changes to that, and do a prediction based on the changed data. There is a
predict command under sarlm for this, and it works. However, I have two
questions.
-
On Tue, 13 Mar 2012, Smit, M.J. wrote:
Dear list,
I'm trying to do a scenario analysis by changing a few values in the
dataset, and running 'predict' from spdep both before and after.
However, I get 'non-comformable arguments', even when I just add the old
dataset as 'newdata='. What is
On Wed, 14 Mar 2012, Roger Bivand wrote:
On Tue, 13 Mar 2012, Smit, M.J. wrote:
Dear list,
I'm trying to do a scenario analysis by changing a few values in the
dataset, and running 'predict' from spdep both before and after. However, I
get 'non-comformable arguments', even when I just add
Dear list,
I'm trying to do a scenario analysis by changing a few values in the dataset,
and running 'predict' from spdep both before and after. However, I get
'non-comformable arguments', even when I just add the old dataset as
'newdata='. What is happening?
My lagsarlm runs fine; so does
:15 AM
To: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] predict() LDL error
to remove duplicates in DF you need to replace it:
DF = remove.duplicates(DF, zero=0, remove.second = TRUE)
zerodist(DF)
On 07/15/2011 10:23 AM, Matevž Pavlič wrote:
Hi, thanks for your time
I am sure
...and attachement...
r, m
-Original Message-
From: r-sig-geo-boun...@r-project.org [mailto:r-sig-geo-boun...@r-project.org]
On Behalf Of Matevž Pavlič
Sent: Monday, July 18, 2011 8:47 AM
To: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] predict() LDL error
Hi Edzer, thanks
: Monday, July 18, 2011 8:58 AM
To: Matev¾ Pavliè
Subject: Re: [R-sig-Geo] predict() LDL error
Hi Matev¾
try:
print(spplot(z, zcol=which(names(z)==0.pred)),
col.regions=terrain.colors(64), contour=T, pretty=T, cuts=8, key.space=right)
Greets
Caspar
2011/7/18 Matev¾ Pavliè
Hi,
thanks for the help. I renamed it to letters and it works perfectly now.
Thanks again for your time, m
From: caspar hallmann [mailto:caspar.hallm...@gmail.com]
Sent: Monday, July 18, 2011 9:44 AM
To: Matevž PavliÄ
Cc: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] predict
of that column (prediction)
I hope I explained it ok, if not i'll try more…
Thanks for the hlep,
m
From: romu...@gmail.com [mailto:romu...@gmail.com] On Behalf Of Roman Luštrik
Sent: Monday, July 18, 2011 11:21 AM
To: Matevž Pavlič
Subject: Re: [R-sig-Geo] predict() LDL error
Oj
the same...shouln't it remove the duplicates?
thanks, m
-Original Message-
From: r-sig-geo-boun...@r-project.org [mailto:r-sig-geo-boun...@r-project.org]
On Behalf Of Edzer Pebesma
Sent: Thursday, July 14, 2011 11:25 PM
To: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] predict() LDL
Hi all,
i am trying to use categorical kriging for prediction of soil classes in an
area. I am pretty new to using cat. kriging in R soI probably am making some
beginers mistakes. Attached is a reproducable sample with sample data.
When i try to use predict() i geta n error- I am
The error message is an indication that you're predicting (kriging) with
a singular covariance matrix. The most frequent reasons for this are
duplicate observations [1] or perfect correlation in the
coregionalization model [2]. For [1], see ?remove.duplicates, for [2]
see argument correct.diagonal
around this.
Thank you for your response
sadz
From: Tom Gottfried tom.gottfr...@wzw.tum.de
To: r-sig-geo@r-project.org
Sent: Mon, 28 February, 2011 9:41:25
Subject: Re: [R-sig-Geo] predict a map from point data
Hi Sadz,
Am 28.02.2011 01:54, schrieb Sadz A:
Hi
Hi Sadz,
Am 28.02.2011 01:54, schrieb Sadz A:
Hi,
I'm trying to predict the distribution of timber over an area, I have point
location data- so it would make sense to use a krigging to interpolate the
data
over the whole map. Unfortunately the krigging predictions are pretty bad.
Hi,
I'm trying to predict the distribution of timber over an area, I have point
location data- so it would make sense to use a krigging to interpolate the data
over the whole map. Unfortunately the krigging predictions are pretty bad.
I have now got environmental data for my study site and
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