| 書(shū)目名稱(chēng) | Geostatistics Toronto 2021 | | 副標(biāo)題 | Quantitative Geology | | 編輯 | Sebastian Alejandro Avalos Sotomayor,Julian M. Ort | | 視頻video | http://file.papertrans.cn/385/384101/384101.mp4 | | 概述 | Provides state-of-the-art theory and application in geostatistics.Contains peer-reviewed articles of world-leading expert authors.Expands and incorporates Artificial Intelligence and Machine Learning | | 叢書(shū)名稱(chēng) | Springer Proceedings in Earth and Environmental Sciences | | 圖書(shū)封面 |  | | 描述 | .This open access book provides state-of-the-art theory and application in geostatistics.?..Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11.th. International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021.?..This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.. | | 出版日期 | Conference proceedings‘‘‘‘‘‘‘‘ 2023 | | 關(guān)鍵詞 | Stochastic Modeling; Uncertainty Quantification; Predictive modeling; Random functions; Open Access | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-19845-8 | | isbn_softcover | 978-3-031-19847-2 | | isbn_ebook | 978-3-031-19845-8Series ISSN 2524-342X Series E-ISSN 2524-3438 | | issn_series | 2524-342X | | copyright | The Editor(s) (if applicable) and The Author(s) 2023 |
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