Geostatistics 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. 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 co-kriging and several forms of conditional simulations, all developed in three-dimensions, which can be run on any kind of computer.
"synopsis" may belong to another edition of this title.
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas
Geological Survey
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas
Geological Survey
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey
Praise for the previous edition:
"Provides concise theoretical discussions of relevant geostatistical concepts, with an emphasis on placing the provided routines in the context of current geostatistical practice. The text is loaded with citations and the resulting bibliography is a valuable resource within itself."--Kansas Geological Survey
"About this title" may belong to another edition of this title.
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