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            Handbook of Mathematical Geosciences

            Fifty Years of IAMG

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            Contributor(s)
            Daya Sagar, B.S. (editor)
            Cheng, Qiuming (editor)
            Agterberg, Frits (editor)
            Language
            English
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            Abstract
            This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/175470
            Keywords
            Earth sciences; Geology—Statistical methods; Mathematical physics; Statistics ; Statistics ; Statistical physics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWR Nonlinear science; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software
            DOI
            10.1007/978-3-319-78999-6
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2018
            Pages
            914
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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