AI-GEOSTATS: gslib source code?

2007-02-21 Thread Samuel Verstraete
Hi, Today i was looking for the source code of gslib and it seems to have vanished from the stanford website. AFAIK it used to be available on this url: http://pangea.stanford.edu/ERE/research/scrf/GSLIB/index.html Now all i can find is the link to the statios.com website where you need to regist

Re: AI-GEOSTATS: gslib source code?

2007-02-21 Thread Gregoire Dubois
There is a magic web site called AI-GEOSTATS.ORG You would find there (search GSLIB in the software section) a link to http://www.gslib.com/ f77 & f90 source codes can downloaded freely (a form must be filled in) Hope this helps Gregoire On 2/21/07, Samuel Verstraete <[EMAIL PROTECTED]> wrote

RE: AI-GEOSTATS: gslib source code?

2007-02-21 Thread Pierre Goovaerts
All the Gslib source codes + online help menus + additional files for cosimulation/accuracy plot can be downloaded from http://pangea.stanford.edu/ERE/research/scrf/software/ Cheers, Pierre Pierre Goovaerts Chief Scientist at BioMedware Inc. Courtesy Associate Professor, University of Florida

AI-GEOSTATS: Regression trees and spatial autocorrelation

2007-02-21 Thread Volker Bahn
Hi all, I use regression trees (RT)(and also random forests RF) for fitting models of species distributions based on characteristics of the environment. I know that both, the abundance of the species at different locations and also the environmental predictors are strongly spatially autocorre

AI-GEOSTATS: Validation of Joint Multi-Variate Simulation

2007-02-21 Thread Badenhorst, Colin
Hi List, I have generated several tens of realisations (in Gaussian "space" using a Normals Scores transform) of 5 variables using joint multivariate collocated sequential gaussian simulation. I am able to validate this simulation by comparing the input data (drillhole composites) to the output