META TOPICPARENT |
name="SoftwareCodes" |
## BMElib 2.0
Below is the detail information:
DEVELOPED |
2001-2005 |
AUTHOR |
George Christakos and Marc Serre University of North Carolina USA
Patrick Bogaert Universit? Catholique de Louvain Belgium
marc_serre@unc.edu |
PLATFORM |
MATLAB |
PURPOSE |
Space/time geostatistics, Bayesian Maximum Entropy |
FUNCTIONS |
+ general statistics (histograms, probability plots) + variogram and cross variogram calculations in space/time (any spatial dimension)
+ BME using probabilistic and hard data + BME using interval and hard data + BME using hard data only (simple kriging) + BME using probabilistic and hard data with a trend model + BME using interval and hard data with a trend model + BME using hard data with a trend model (ordinary kriging and kriging with trend) + all estimation can use vector fields (e.g. cokriging) and be in the space/time domain + all estimation can be with transformation to handle non-Gaussian data + LU simulation + sequential gaussian simulation |
CODES |
Matlab codes available on request. |
TIP |
BMElib implements space/time estimation using the Bayesian Maximum Entropy (BME) theory. BME is a very general framework, which leads to the well known kriging algorithms (simple, ordinary, with mean trend model) as a special case under some limiting conditions (when unsing only hard data, etc.), but provides a more comprehensive model when using both hard AND soft data (as well as many other sorts of knowledge bases). |
HOMEPAGE |
Download is available from www.unc.edu/depts/case/BMELIB/ with the permission from the authors. |
-- TWikiAdminUser - 2010-06-25 |