María Eugenia Utgés wrote:
Original Message
Subject: Presentation and a "few" Questions (geoR)
From:María Eugenia Utgés
Date:Wed, June 10, 2009 5:21 pm
To: r-sig-geo@stat.math.ethz.ch
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Gledson Picharski wrote:
Hi Rubén,
Try this,
my.func <- set.coords.lims #if you want this geoR function latter.
set.coords.lims <-function(coords)apply(coords,2,range)
plot(z1)
points(z1,pt.divide=c("data.proportional"),lambda=1,col="gray",yl="",xl="")
## to get set.coords.lims back.
set.co
Hi ComRades,
The functions points.geoadata and plot.geodata have an underisable
behavior with the limits of the X axis of the plot, as shown by the toy
example below. The range covered by the X axis is too wide. Setting
specific limits with xlim in, for example points.geoadata, doesn't solve
Henk Sierdsema wrote:
Hi Ivan,
Can you tell me what the purpose is of your modelling? Is it simply producing
spatial predictions based on a logistic model or do you want to incorporate
spatial autocorrelation in the models? Given your last mail it seems you want
to incorporate spatial autocor
ivan valencia wrote:
Hello
I need some guide about spatial logistic regression, Is it available a
code in R?
{}
LIOV
You can try the functions in package geoRglm.
You can set binomial counts with spatial coordinates and fit a
geostatistical logistic model in geoRglm.
HTH
R.
GEMA FERNANDEZ-AVILES CALDERON wrote:
Dear list,
I have two problem and I would like to know you opinion.
1. I am kriging 6 environmental variables, SO2, NOx, O3, CO, NO,
PM10, to built and enviromental index in R. I have standardized the
observed values and I am implementing in geoR the
Greetings comRades:
Has anyone worked out a procedure to calculate the estimated covariance
between the beta and lambda estimates in the likelihood-based
geostatistical model implemented in package geoR? If so, please help me
out by letting me know.
Do I have reasons to expect that this covarian
