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BMElib 2.0

Below is the detail information:

DEVELOPED 2001-2005
AUTHOR George Christakos and Marc Serre
University of North Carolina

Patrick Bogaert
Université Catholique de Louvain

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 with the permission from the authors.
Topic revision: r3 - 18 Aug 2010, TheresiaFreska
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