The classic example in Isaaks & Srivastava has a lot of data points. More data gives a better description of the process, but the problem is with computation: 1000 samples gives you 499,500 pairs, whereas 10,000 samples gives you 49,995,000 pairs. This requires a lot of memory.
Dan p.s. If you need some basic geostatistical procedures, there are plenty of programs out there. ____________________________ Dr. Daniel P. Bebber Department of Plant Sciences University of Oxford South Parks Road Oxford OX1 3RB Tel. 01865 275060 > -----Original Message----- > From: Mark Coleman [mailto:[EMAIL PROTECTED] > Sent: 03 November 2004 20:40 > To: [EMAIL PROTECTED] > Subject: [ai-geostats] Typical sample sizes for variogram calculations > > > Greetings, > > I am coding some basic geostatistical procedures and was curious about > the "typical" sorts of sample sizes researchers run into. I know that > sizes of n=1000 are fairly common. How about sizes of N=10,000 or > greater? Are variograms computed on samples this large? > > Thanks, > > -mark > > >
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