Mining Geostatistics

Writing for geologists, mining engineers and metallurgists, Journel (Stanford U.) and Huijbregts (Bureau of Geological Research and Mining, France) aim for a complete handbook. They work from their practical experience gained in mining operations in France to cover geostatistics and mining applications, the theory of regionalized values, structural analysis, case studies of structural analysis, Kriging and the estimation of in situ resources, selection and estimation of recoverable reserves, simulation of deposits and introduce non-linear geostatistics. Readers should have a modest framework in integral calculus, linear algebra, statistics, stochastic processes, variance, covariance and distribution functions, along with a geological and mining background. The authors include programs in FORTRAN. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)