you a bit, but perhaps your problem is not the
same as
mine was!
Nicola
Date: Wed, 04 Mar 2009 11:07:16 -0800
From: Ken Nussear
Subject: [R-sig-Geo] imaging geoRglm binomial krig
To: r-sig-geo@stat.math.ethz.ch
Message-ID: <1898d59a-04af-4625-b19c-e8daca88a...@mac.com>
Content-Type
Hi
Wondering if anyone has had success imaging a krige produced using
geoRglm?
The dataset has 3467 locations
Here is the code used to build the krige and attempted image.
itdsglm1 <- trend.spatial(~TRAN_LNTH + Maxent + HWYS_Dist2 + MDEP +
pop, WMgeo.Sign)
itlsglm1 <- trend.spatia
you can find rgdal here
http://www.kyngchaos.com/wiki/doku.php?id=software:frameworks
Once that is installed you should be able to use spgrass6 without
problems. I've been using it on my mac for quite some time.
Ken
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I picked up an rgdal binary from kyngchaos here just yesterday...
http://www.kyngchaos.com/files/software/unixport/rgdal-0.5.15-1.zip
and was able install the binary, and then install spgrass6 from
source no problem, running R 2.6.1 and R gui 1.23 - devel (4901) and
Mac OS 10.5.1
Ken
>
>
Hi
I'm using geoR for some spatial linear models and I'm getting
surprisingly optimistic values from the spatial models relative to the
non-spatial, even when the models appear to be performing about
equally (by AIC comparison)
For example
This model relating encounter rates of lizards to
Just in case anyone needs this in the future
Looks like I am able to get them using this call
fitted.likGRF(m4r)
Ken
>
>
> Message: 2
> Date: Tue, 6 Nov 2007 16:52:05 -0800
> From: Ken Nussear <[EMAIL PROTECTED]>
> Subject: [R-sig-Geo] retrieving fitted values from ge
I'm trying to obtain the fitted values for a spatial model using
likfit under geoR. When I use the statement
fitted(m4r, spatial = TRUE), per the instructions under help(likfit)
I get the following error
> fitted(m4r, spatial = TRUE)
be patient ... this function currently require calling likf
Hi All
Hope someone can help.
I'm trying to run some spatial models on a binomial and a poisson
dataset, and so geoRglm seemed like a good choice.
I'm also running the same models in SAS with proc Glimmix. Since SAS
uses a quasiliklihood I get no AIC values for model ranking, and I'm
able
Got it working. Too much auto correlation in the MCMC. I didn't
consider it to be a large dataset, but I had to set thinning to 100
to get it to run.
Ken
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I'm using geoRglm for that very purpose as I write this.
Have a look at the glsm.mcmc
and likfit.glsm functions.
Ken
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I'm trying to fit parameters in a spatial model using likfit.glsm and
I'm getting an error. I wonder if anyone out there can help me figure
out how to fix it.
the object WMgeo is a geospatial dataset and I have run successful
models using likfit in the geoR package. I just cant get this one
Did you load the library first using library(Rmap)?
Ken
On May 14, 2007, at 3:00 AM, [EMAIL PROTECTED] wrote:
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Hi All,
Sorry to cross post on the main help list, I just found out about r-
sig-geo.
I'm trying to use the geoRglm package to run a poisson spatial glm
on a dataset with several covariates. When I run without covariates I
have no problems.
control1.data.geo <- mcmc.control(S.scale=0.2
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