[ai-geostats] 3D cross-variograms fittind

2006-03-01 Thread seba
Dear list members Despite free opensource software (for example Gstat) could perform full indicator Kriging (i.e. using cross variogram) I have not found free software for fitting 3D cross variograms. Surely, commercial software can do that, but it could be a little bit expensive from the

RE: [ai-geostats] Comparison of sample areas

2006-03-01 Thread osei, samuel
Hi Collins, I guess T and F tests are used for samples from TWO sampling campaigns. Please correct me if I'm wrong. What Chris is referring to is more than 2 sampled fields. Thanks Sam -Original Message- From: Colin Badenhorst [mailto:[EMAIL PROTECTED] Sent: Tuesday, February

RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Luke Spadavecchia
Hi all, for S or R users, GeoR is worth a look for auto-fitting procedures. This R package allows fitting of variograms (with the option of trend removal) via least squares (equal weights, n_pairs weights, or 'Cressie' weights), or computationally using maximum liklihood or REML. If you go

[ai-geostats] Software for Automatic Semivariogram Estimation

2006-03-01 Thread Isobel Clark
Thanks Behrang, I see you are using Cressie weights. Isobel http://uk.geocities.com/drisobelclarkBehrang Kushavand [EMAIL PROTECTED] wrote:Dear Prof. Clark Here is thepaper: http://www.ansinet.org/fulltext/jas/jas581405-1407.pdf Formula (4) is the weight factor. King regards.

[ai-geostats] sgems software

2006-03-01 Thread Alexandre Boucher
To all, The geostatistics group at Stanford will give a free workshop, April 14-15 in Half Moon Bay, Califormia, to present our new open-source software sgems. sgems is set to replace the Fortran library gslib. More detailed information may be found here

RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Mach Nife
It would be very nice if there would be a tutorial on how to use the variogram modeler. machnife --- Pierre Goovaerts [EMAIL PROTECTED] wrote: Hi Susan, I would recommend the Stanford Geostatistical Modeling Software (S-GeMS) that is public domain and that I use in all my short courses