Value of Information in the Earth Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Value of Information in the Earth Sciences write by Jo Eidsvik. This book was released on 2015. Value of Information in the Earth Sciences available in PDF, EPUB and Kindle.
Transferring Earth Science Information to Decisionmakers
Transferring Earth Science Information to Decisionmakers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transferring Earth Science Information to Decisionmakers write by Thomas F. Bates. This book was released on 1979. Transferring Earth Science Information to Decisionmakers available in PDF, EPUB and Kindle.
Value of Information in the Earth Sciences
Value of Information in the Earth Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Value of Information in the Earth Sciences write by Jo Eidsvik. This book was released on 2015-11-19. Value of Information in the Earth Sciences available in PDF, EPUB and Kindle. This book presents a unified framework for assessing the value of potential data-gathering schemes, with a focus on the Earth sciences.
Value of Information in the Earth Sciences
Value of Information in the Earth Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Value of Information in the Earth Sciences write by Jo Eidsvik. This book was released on 2015-11-19. Value of Information in the Earth Sciences available in PDF, EPUB and Kindle. Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the Earth sciences. The authors discuss the value of imperfect versus perfect information, and the value of total versus partial information, where only subsets of the data are acquired. Concepts are illustrated using a suite of quantitative tools from decision analysis, such as decision trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov random fields, Gaussian processes, and multiple-point geostatistics. Unique in scope, this book is of interest to students, researchers and industry professionals in the Earth and environmental sciences, who use applied statistics and decision analysis techniques, and particularly to those working in petroleum, mining, and environmental geoscience.
Computational Intelligence Techniques in Earth and Environmental Sciences
Computational Intelligence Techniques in Earth and Environmental Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence Techniques in Earth and Environmental Sciences write by Tanvir Islam. This book was released on 2016-09-17. Computational Intelligence Techniques in Earth and Environmental Sciences available in PDF, EPUB and Kindle. Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.
