GSLIB: Geostatistical Software Library and User's GuideGeostatistics can be defined as the statistical study of phenomena that fluctuate in space and time. Originally the objective of the field was to improve forecasts of ore grade and reserves, but the mathematical generality of the approach has led to the application of geostatistics to other areas, ranging from pest control to pollution monitoring and petroleum reservoir characterization. GSLIB provides a source code that can be used as a starting point for custom programs, advanced applications, and research. GSLIB is addressed to the reasonably advanced practitioner or researcher who needs powerful, flexible, and documented programs that are not confined to user-friendly menus. It offers the most advanced methods in the field, including indicator kriging and several forms of conditional simulations, all developed in three-dimensions, and can be run in any kind of computer. The package consists of the GSLIB user's guide and FORTRAN source code on two diskettes. |
Other editions - View all
GSLIB: Geostatistical Software Library and User's Guide Clayton V. Deutsch,André G. Journel No preview available - 1998 |
Common terms and phrases
algorithm ang2 ang3 anis2 anisl anisotropy annealing axis categorical variables cc ang1 ccdf cluster.dat cokriging column numbers computed considered correlogram corresponding covariance covariance matrix cross covariance cumulative distribution function data values datafl debugging level declustering direction distribution example parameter file external drift Fortran Gaussian Geostatistics global cdf grid node GSLIB histogram ik3d indicator data indicator kriging indicator variograms input interpolation kriging estimate kriging variance ktb3d linear matrix maximum number median minimum and maximum ndir normal score transform nugget effect number of data ordinary kriging output file plot problem set Q-Q plot quartile random number seed realizations RF model sample search radius semivariogram shown in Figure simple kriging simplified Geo-EAS format simulated annealing simulated values spatial specified statistics structure subroutine super block trend turning band value z(u variable Z(u variogram model variogram type weights xsiz ysiz z-data z-values zsiz