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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 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.
This book investigates the practical implementation of geostatistical methods through the provision of a standardized, flexible software library for spatial data analysis. The authors, Andre G. Journel and Clayton V. Deutsch, leverage their extensive expertise in spatial statistics to provide a robust framework for researchers and practitioners. By offering FORTRAN source code alongside detailed documentation, the text bridges the gap between theoretical geostatistical models and their computational application in fields such as mining, petroleum engineering, and environmental monitoring.
What You Will Find
Experts recognize this work as a foundational technical manual for practitioners requiring high-level control over spatial analysis software. Readers frequently note the academic density of the prose and the necessity of prior programming knowledge to effectively utilize the provided source code.
Page Count:
352
Publication Date:
1993-02-18
Publisher:
Oxford University Press
ISBN-10:
0195073924
ISBN-13:
9780195073928
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