Hi Manuel,
raster[] will give you a vector of the raster values so
#create a new raster of the same red and extent as cob_r
forest_raster-cob_r
# assuming forest pixels have a value of 1
forest_raster[forest_raster[]!=1]-0
plot(forest_raster)
Does that work?
Date: Tue, 15 Oct 2013 10:49:50
Hi James,
Not sure how to do that, but check out SpatialEpi and Dcluster packages, I
believe they can do a lot of what SaTScan does..
Cheers, Hugh
From: roone...@tcd.ie
To: r-sig-geo@r-project.org
Date: Mon, 26 Aug 2013 16:42:55 +0100
Subject: [R-sig-Geo] output data from R to SaTScan
Hi
$KNcluster)
print(spplot(ED, KNcluster, main=Kulldorff's method,
col.regions=c(gray(1), gray(.5), gray(.8
Thanks,
James
From: Hugh Sturrock [hughsturr...@hotmail.com]
Sent: 26 August 2013 17:10
To: James Rooney; r-sig-geo@r
Ross,
The geodist function in the package GMT will compute distance in all sorts of
units (m, km etc.) from lat longs.
Hugh
Date: Thu, 16 May 2013 14:16:03 +0100
From: rossah...@googlemail.com
To: r-sig-geo@r-project.org
Subject: [R-sig-Geo] nearest neighbour using distance in metres
Hi
Hi all,
I am trying to model binomial data (infection status) of people living in
households. I have run a logistic regression with a household level random
effect to account for correlation between individuals within households. When I
look at the value of the random effect (intercept) at each
