Buch, Englisch, 286 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 498 g
A User's Guide
Buch, Englisch, 286 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 498 g
ISBN: 978-1-107-40324-6
Verlag: Cambridge University Press
The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik
- Geowissenschaften Geologie Geophysik
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Geowissenschaften Umweltwissenschaften Umwelttechnik
- Geowissenschaften Geologie Bodenkunde, Sedimentologie
- Naturwissenschaften Physik Angewandte Physik Geophysik
- Geowissenschaften Geologie Hydrologie, Hydrogeologie
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
Weitere Infos & Material
1. Introduction; 2. General overview; 3. Geostatistics: a recall of concepts; 4. Data sets & SGeMS EDA tools; 5. Variogram computation and modeling; 6. Common parameter input interfaces; 7. Estimation algorithms; 8. Stochastic simulation algorithms; 9. Utilities; 10. Scripting, commands and plug-ins; List of programs; List of symbols; Bibliography.
