Good morning Edzer and Dave,
Thanks for bringing up this point. I had a similar issue recently using krige(). Observations at 5800 locations, attempting to krige() predictions at 112,000 locations resulted in the same "memory.c" error message. Reducing predicted locations to <<50,000 and reducing max.dist seemed to help, but the predictions still took a very long time (>2 hours). (Running winxp with 4GB memory.) Can you clarify your suspicion regarding the "lack of standardization of coordinates"?

Chris

Edzer Pebesma wrote:
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.




--
J. Christopher Taylor, Ph.D.
Applied Ecology and Restoration Research
National Ocean Service / NOAA National Centers for Coastal Ocean Science Center for Coastal Fisheries and Habitat Research 101 Pivers Island Road, Beaufort, North Carolina 28516-9722 Ph:(252) 838 0833 Fx:(252) 728 8784 Website: http://www.ccfhr.noaa.gov/

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email;internet:[EMAIL PROTECTED]
title:Research Ecologist
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