Dave,
12000 observations fit, in the c representation, in less than 1 Mb (64
bytes per observation).
The issue is that you think that passing maxdist to predict.gstat has an
effect. It doesn't; you need to pass it to function gstat().
The same thing happened in this
https://stat.ethz.ch/pipermail/r-sig-geo/2008-September/004182.html
message, where nmax was passed to predict.gstat, and simulation took
forever. The other issue in that question was, I suspect, lack of
standardization of coordinates, used in a trend surface.
--
Edzer
Dave Depew wrote:
Is there a limit to the # of observations or size of file that can be
co-kriged in gstat?
I have a ~12000 observation data set (2 variables), the variograms,
cross variogram and lmc are fit well, and co-kriging starts ok
Linear Model of Coregionalization found. Good.
[using ordinary cokriging]
then immediately outputs
"memory.c", line 57: can't allocate memory in function m_get()
Error in predict.gstat(fit.ck, newdata = EcoSAV.grid, maxdist = 100) :
m_get
Iv tried different maxdist from 10 to 1000, with exactly the same result.
I recently upgraded my RAM to 4Gb and flipped the windows XP /3GB switch.
--
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster,
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
8333081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de/
http://www.springer.com/978-0-387-78170-9
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