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High performance computing and artificial intelligence for geosciences / editors Yuzhu Wang, Jinrong Jiang, Yangang Wang. - Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023. - 1 Online-Ressource (vii, 178 Seiten) : Illustrationen, Diagramme, Karten, ISBN 978-3-0365-8181-1
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Petrelli, Maurizio: Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / by Maurizio Petrelli. - 1st ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVI, 209 p. 102 illus., 99 illus. in color.), ISBN 978-3-031-35114-3 (Springer Textbooks in Earth Sciences, Geography and Environment) DOI: 10.1007/978-3-031-35114-3
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Liemohn, Michael W.: Data analysis for the geosciences : essentials of uncertainty, comparison, and visualization / Michael W. Liemohn (University of Michigan, USA). - Hoboken, NJ: Wiley Blackwell, 2024. - xxiii, 424 Seiten : Illustrationen, Diagramme, ISBN 978-1-119-74787-1 (Advanced textbook ; 5)
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Signatur: UBN/TG 1111 L719
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Petrelli, Maurizio: Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning / by Maurizio Petrelli. - 1st ed. 2021.. - Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XV, 229 p. 112 illus., 104 illus. in color.), ISBN 978-3-030-78055-5 (Springer eBook Collection) (Springer Textbooks in Earth Sciences, Geography and Environment) DOI: 10.1007/978-3-030-78055-5
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Petrelli, Maurizio: Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / Maurizio Petrelli. - Cham, Switzerland: Springer, [2021]. - xv, 229 Seiten : Illustrationen, Diagramme, ISBN 978-3-030-78054-8 (Springer textbook) (Springer textbooks in earth sciences, geography and environment)
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Signatur: UBN/TG 1112 P494
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Wu, Jiaping: Quantitative analysis and modeling of earth and environmental data : space-time and spacetime data considerations / Jiaping Wu, Junyu He, George Christakos. - Amsterdam ; Kidlington, Oxford ; Cambridge, MA: Elsevier, [2022]. - 1 Online-Ressource (x, 492 Seiten) : Illustrationen, ISBN 978-0-12-816342-9 DOI: 10.1016/C2018-0-00055-9
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Burd, Adrian: Mathematical methods in the earth and environmental sciences / Adrian Burd (University of Georgia). - Cambridge ; New York, NY ; Port Melbourne: Cambridge University Press, 2019. - xiii, 584 Seiten : Illustrationen, Diagramme, ISBN 978-1-107-11748-8 DOI: 10.1017/9781316338636
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Signatur: UBN/TG 1111 B949
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Reddy, T. Agami: Applied Data Analysis and Modeling for Energy Engineers and Scientists / by T. Agami Reddy, Gregor P. Henze. - 2nd ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XXI, 609 p. 400 illus., 194 illus. in color.), ISBN 978-3-031-34869-3 DOI: 10.1007/978-3-031-34869-3
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Encyclopedia of Mathematical Geosciences / edited by B. S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg. - 1st ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(555 illus., 344 illus. in color. eReference.), ISBN 978-3-030-85040-1 (Encyclopedia of Earth Sciences Series) DOI: 10.1007/978-3-030-85040-1
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Trauth, Martin H.: Python-Rezepte für die Geowissenschaften / von Martin H. Trauth. - 1st ed. 2023.. - Berlin, Heidelberg: Springer Berlin Heidelberg, 2023.. - 1 Online-Ressource(XIV, 480 S. 199 Abb., 112 Abb. in Farbe.), ISBN 978-3-662-68118-3 DOI: 10.1007/978-3-662-68118-3
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Mariethoz, Gregoire: Multiple-point geostatistics : stochastic modeling with training images / Gregoire Mariethoz ; Jef Caers. - 1. publ.. - Chichester [u.a.]: Wiley Blackwell, 2015. - XI, 364 S. : Ill., graph. Darst., ISBN 978-1-118-66275-5
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Signatur: UBN/TG 1100 C127
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International Geostatistics Congress <10., 2016, Valencia>: Geostatistics Valencia 2016 / edited by J. Jaime Gómez-Hernández, Javier Rodrigo-Ilarri, María Elena Rodrigo-Clavero, Eduardo Cass… . - Cham: Springer, [2017]. - 1 Online-Ressource (XIX, 974 Seiten) : 603 Illustrationen, ISBN 978-3-319-46819-8 (Quantitative Geology and Geostatistics ; 19) DOI: 10.1007/978-3-319-46819-8
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Handbook of Mathematical Geosciences : Fifty Years of IAMG / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg. - Cham: Springer International Publishing, 2018. - Online-Ressource (XXVIII, 914 p. 287 illus., 185 illus. in color, online resource), ISBN 978-3-319-78999-6 (Springer eBook Collection) (SpringerLink : Bücher) DOI: 10.1007/978-3-319-78999-6
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Caers, Jef: Modeling uncertainty in the earth sciences / Jef Caers. - 1. impr.. - Hoboken, N.J.: Wiley-Blackwell, c 2011. - XV, 229 S. : Ill., graph. Darst., ISBN 978-1-119-99263-9
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Agterberg, Frits: Geomathematics : theoretical foundations, applications and future developments / Frits Agterberg. - Cham ; Heidelberg [u.a.]: Springer, 2014. - XX, 553 S. : graph. Darst., Kt., ISBN 978-3-319-06873-2 (Quantitative geology and geostatistics ; 18)
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Signatur: UBN/RB 10103 A281
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Handbook of mathematical geosciences : fifty years of IAMG / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg. - Cham: Springer, [2018]. - xxviii, 914 Seiten : Illustrationen, Diagramme, Karten, ISBN 978-3-319-78998-9
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Signatur: UBN/SK 950 S129
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Freeden, Willi: An invitation to geomathematics / Willi Freeden, Clemens Heine, M. Zuhair Nashed. - Cham: Birkhäuser, [2019]. - 1 Online-Ressource (xvi, 129 Seiten) : Illustrationen, Diagramme, ISBN 978-3-030-13054-1 (Springer eBook Collection) (Lecture Notes in Geosystems Mathematics and Computing) (Springer eBooks : Mathematics and Statistics) DOI: 10.1007/978-3-030-13054-1
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Benndorf, Jörg: Angewandte Geodatenanalyse und -Modellierung : Eine Einführung in die Geostatistik für Geowissenschaftler und Geoingenieure / von Jörg Benndorf. - 1st ed. 2023.. - Wiesbaden: Springer Fachmedien Wiesbaden, 2023.. - 1 Online-Ressource(XII, 357 S. 171 Abb., 149 Abb. in Farbe.), ISBN 978-3-658-39981-8 (erfolgreich studieren) DOI: 10.1007/978-3-658-39981-8
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Averbuch, Amir Z.: Handbook of Geomathematics : A Springer Live Reference / by Amir Z. Averbuch, Jörn Behrens, Joachim Benz, Jef Caers, Charles K. Chui, Stephan Dahlke, Sergey … . - Heidelberg, Germany: Springer-Verlag Berlin Heidelberg, 2011. - Online-Ressource (v.: digital), ISBN 978-3-642-27793-1 (SpringerReference) DOI: 10.1007/978-3-642-27793-1
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Kogler, Marie Lisa: Mathematische Grundlagen für Umweltsystemwissenschaften : Einführung in die Differential- und Integralrechnung / von Marie Lisa Kogler, Raven Adam. - 1st ed. 2023.. - Berlin, Heidelberg: Springer Berlin Heidelberg, 2023.. - 1 Online-Ressource(XIV, 264 S. 81 Abb., 70 Abb. in Farbe.), ISBN 978-3-662-67371-3 DOI: 10.1007/978-3-662-67371-3
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