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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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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.: MATLAB®-Rezepte für die Geowissenschaften / Martin H. Trauth. - Berlin ; [Heidelberg]: Springer Spektrum, [2022]. - 1 Online-Ressource (XII, 544 Seiten), ISBN 978-3-662-64357-0 (Springer eBook Collection) DOI: 10.1007/978-3-662-64357-0
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Wollschläger, Daniel: R kompakt : der schnelle Einstieg in die Datenanalyse / Daniel Wollschläger. - 3. Auflage. - Berlin ; [Heidelberg]: Springer Spektrum, [2021]. - 1 Online-Ressource (XV, 250 Seiten) : Illustrationen, ISBN 978-3-662-63075-4 (Springer eBook Collection) DOI: 10.1007/978-3-662-63075-4
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Shen, Samuel S. P.: Statistics and data visualization in climate science with R and Python / Samuel S.P. Shen (San Diego State University), Gerald R. North (Texas A&M University). - Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore: Cambridge University Press, 2023. - xxii, 391 Seiten : Illustrationen, Diagramme, ISBN 978-1-108-84257-0
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Signatur: UBN/RB 10420 S546
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Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics / edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava. - 1st ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XVII, 281 p. 146 illus., 129 illus. in color.), ISBN 978-3-031-19845-8 (Springer Proceedings in Earth and Environmental Sciences) DOI: 10.1007/978-3-031-19845-8
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Trauth, Martin H.: MATLAB® Recipes for Earth Sciences / by Martin H. Trauth. - 5th ed. 2021.. - Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XII, 517 p. 142 illus., 122 illus. in color.), ISBN 978-3-030-38441-8 (Springer eBook Collection) (Springer Textbooks in Earth Sciences, Geography and Environment) DOI: 10.1007/978-3-030-38441-8
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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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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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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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Wang, Lijing: Data science for the geosciences / Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Stanford University, California)… . - Cambridge ; New York, NY ; Port Melbourne, VIC ; New Delhi ; Singapore: Cambridge University Press, 2024. - xiii, 244 Seiten, 8 ungezählte Seiten Bildtafeln : Illustrationen, Diagramme, ISBN 978-1-009-20141-4
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Signatur: UBN/TG 1111 W246
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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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Shen, Samuel S. P.: Climate mathematics : theory and applications / Samuel S.P. Shen (San Diego State University), Richard C.J. Somerville (Scripps Institution of Ocean… . - Cambridge ; New York, NY ; Melbourne ; New Dehli: Cambridge University Press, 2019. - xxiii, 391 Seiten : Illustrationen, Diagramme, ISBN 978-1-108-47687-4 DOI: 10.1017/9781108693882
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Signatur: UBN/SK 990 S546
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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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Awange, Joseph L.: Mathematical geosciences : hybrid symbolic-numeric methods / Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi. - Cham: Springer, [2018]. - xxvii, 596 Seiten : Illustrationen, Diagramme, ISBN 978-3-319-67370-7 DOI: 10.1007/978-3-319-67371-4
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Signatur: UBN/RB 10103 A964
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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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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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Deep learning for the earth sciences : a comprehensive approach to remote sensing, climate science, and geosciences / edited by Gustau Camps-Valls (Universitat de València, Spain), Devis Tuia (EPFL, Switzerland), Xiao … . - Hoboken, NJ ; Chichester, West Sussex: Wiley, 2021. - 1 Online-Ressource (xxvi, 405 Seiten) : Illustrationen, ISBN 978-1-119-64618-1 DOI: 10.1002/9781119646181
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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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