Dear list For Matlab-users we have written a Matlab Kriging toolbox called DACE (Design and Analysis of Computer Experiments). The toolbox was developed for function optimization, but can equally well be used for traditional geostatistics. Kriging with a constant mean or a trend can be performed, and the parameters of the spatial covariance function are estimated by maximum likelihood. The implementation is based on:
J. Sacks, W.J. Welch, T.J. Mitchell, H.P. Wynn Design and Analysis of Computer Experiments Statistical Science, vol. 4, no. 4, pp. 409-435 1989 The documentation of the software is in two technical reports, which can be downloaded together with the software-package from: http://www.imm.dtu.dk/~hbn/dace/ Best regards / Venlig hilsen Hans Bruun Nielsen, Jacob Soendergaard and Soeren Lophaven ****************************************************************************** Master of Science in Engineering | Ph.D. student Informatics and Mathematical Modelling | Building 321, Room 011 Technical University of Denmark | 2800 kgs. Lyngby, Denmark E-mail: [EMAIL PROTECTED] | http://www.imm.dtu.dk/~snl Telephone: +45 45253419 | ****************************************************************************** -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
