Dear Roger Bivand and Dan Putler,
Currently I'm working on the spatial point data analysis using Kernel
estimation (spatstat), Ripley's K function (spatstat) and space-time K
function (splancs). My research is at the continental level and the region
area includes Asia, Europe and Africa. The methods work on small datasets
(as I have seen solutions posted in R-sig-Geo by others) and this is not my
real problem. Finding a solution with such a large dataset is the key issue
here.
I have a really big data set with 3345 points. The spatial region includes
Asia, Europe and Africa. When I run the "Kest" function, the error said
"cannot allocate vector of size 382.8 Mb". I have already enlarge the memory
to the maximum and make the nlarge=3500 in "Kest". I am not sure if this is
the correct way of increase nlarge, as nlarge default value is 3000. Prior
to me changing nlarge the following error message was "number of data points
exceeds 3000 - computing border estimate only".
Below is part of the code used where the error occurs:
#Ripley's K function
K <- Kest(p1,nlarge=3500)
#Error: cannot allocate vector of size 381.8 Mb
plot(K)
Can you please assist?
Thanks in advance.
--
Yali Si
Department of Natural Resources
International Institute for Geo-Information Science and Earth Observation
Hengelosestraat 99 P.O. Box 6 7500 AA
Enschede, the Netherlands
Phone : +31-53-4874439
Fax: +31-53-4874388
Email: [EMAIL PROTECTED]
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