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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,250grams, ISBN:9781555631062.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

hardcover. Zustand: Very Good.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. pp. 246.

Zustand: New. Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Num Pages: 248 pages, colour illustrations. BIC Classification: RB. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 13. Weight in Grams: 532. . 2011. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. 1st edition. 246 pages. 9.25x6.50x0.50 inches. In Stock.

Zustand: New. pp. 376.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 250 pages. 10.08x7.95x0.79 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Buch. Zustand: Neu. Neuware - This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.…

Buch. Zustand: Neu. Neuware - Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python not Elektronisches Buch that can be applied to real datasets worldwide. …

Hardcover. Zustand: Brand New. 250 pages. 10.08x7.95x0.79 inches. In Stock.

Zustand: New.

Zustand: New.

Hardcover. Zustand: Brand New. 384 pages. 8.60x0.90x10.90 inches. In Stock.

Hardcover. Zustand: Brand New. 279 pages. 11.25x8.75x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - Earth's subsurface offers many vital resources-such as minerals, geothermal energy, and clean water-but decisions regarding exploration and extraction must balance resource value against environmental impact. This can only be addressed by accepting uncertainty as an integral part of most decisions. Decision-Making for Earth Resource Development presents uncertainty quantification strategies tested on real cases using a Bayesian methodology that can be applied to a wide variety of decision problems. Volume highlights include: - Six substantial case studies, covering mineral exploration, geothermal heat feasibility, groundwater management, and more- Popper-Bayes protocol for formulating and solving uncertainty quantification problems- Machine learning approaches for Bayesian inversion- Decision-making with AI and high-performance computing- Investigation models using global sensitivity analysis in the geosciences- Software development for large-scale practical implementation The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.…

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.