BMElib (Bayesian Maximum Entropy library)

Last checked: Sept 13, 2001
 
 

 

Year

2001-

Authors

Marc Serre, University of North Carolina, USA
Patrick Bogaert, Université Catholique de Louvain, BELGIQUE

George Christakos, San Diego State University, USA

Platform

MATLAB for Windows & UNIX

Purpose

Space/time Geostatistics (any spatial dimension)

Main Functions

ESDA

  • general statistics (histograms, probability plots) 
  • variogram and cross variogram calculations in space/time (any spatial dimension)  

ESTIMATIONS

  • 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 

OTHERS

  • all these functions run in MATLAB, takes advance of MATLAB graphics  

Source codes

All source codes of BMElib is available in MATLAB 

Good to know 

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).

Pricing

BMElib is free, but the associated book (Temporal GIS: Advanced Functions for Field-Based Applications, by Christakos, Bogaert and Serre, Springer-Verlag, 2001 ) is indispensable and includes a CDROM containing the source code for BMElib, with executables or compiling instructions for either PC or Unix.

Homepage

http://www.unc.edu/depts/case/BMELIB/

Download

Download is available from http://www.unc.edu/depts/case/BMELIB/ with the permission from the authors. Check the website for more information or contact Marc Serre.