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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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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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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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Bajjali, William: ArcGIS Pro and ArcGIS Online : Applications in Water and Environmental Sciences / by William Bajjali. - 1st ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XIX, 424 p. 669 illus., 653 illus. in color.), ISBN 978-3-031-42227-0 (Springer Textbooks in Earth Sciences, Geography and Environment) DOI: 10.1007/978-3-031-42227-0
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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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Bill, Ralf: Grundlagen der Geo-Informationssysteme / Ralf Bill. - 7., völlig neu bearbeitete und erweiterte Auflage. - Berlin ; Offenbach: Wichmann, [2023]. - 901 Seiten : Illustrationen, Diagramme, Karten, ISBN 978-3-87907-715-1
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Signatur: G70.2.B55 G78 2023
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3D digital geological models : from terrestrial outcrops to planetary surfaces / edited by Andrea Bistacchi, Matteo Massironi, Sophie Viseur. - Hoboken, NJ: Wiley, 2022. - 1 Online-Ressource (xvii, 216 Seiten) : Illustrationen, ISBN 978-1-119-31392-2 DOI: 10.1002/9781119313922
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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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Artificial Intelligent Approaches in Petroleum Geosciences / edited by Constantin Cranganu. - 2nd ed. 2024.. - Cham: Springer International Publishing, 2024.. - 1 Online-Ressource(XVIII, 277 p. 176 illus., 166 illus. in color.), ISBN 978-3-031-52715-9 DOI: 10.1007/978-3-031-52715-9
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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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Advanced Remote Sensing for Urban and Landscape Ecology / edited by Sk. Mustak, Dharmaveer Singh, Prashant Kumar Srivastava. - 1st ed. 2023.. - Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XIII, 317 p. 153 illus., 129 illus. in color.), ISBN 978-981-9930-06-7 (Advances in Geographical and Environmental Sciences) DOI: 10.1007/978-981-99-3006-7
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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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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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Ramdani, Fatwa: Exploring the earth with QGIS : a guide to using satellite imagery at its full potential / by Fatwa Ramdani. - Cham: Springer Nature Switzerland, 2023. - 1 Online-Ressource(xix, 232 Seiten) : Illustrationen, ISBN 978-3-031-46042-5 (Springer Remote Sensing/Photogrammetry) DOI: 10.1007/978-3-031-46042-5
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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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Zhdanov, Michael S.: Advanced Methods of Joint Inversion and Fusion of Multiphysics Data / by Michael S. Zhdanov. - 1st ed. 2023.. - Singapore: Springer Nature Singapore, 2023.. - 1 Online-Ressource(XVI, 369 p. 52 illus., 37 illus. in color.), ISBN 978-981-9967-22-3 (Advances in Geological Science) DOI: 10.1007/978-981-99-6722-3
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Bhattacharya, Shuvajit: A Primer on Machine Learning in Subsurface Geosciences / by Shuvajit Bhattacharya. - 1st ed. 2021.. - Cham: Springer International Publishing, 2021.. - 1 Online-Ressource(XVII, 172 p. 130 illus., 118 illus. in color.), ISBN 978-3-030-71768-1 (Springer eBook Collection) (SpringerBriefs in Petroleum Geoscience & Engineering) DOI: 10.1007/978-3-030-71768-1
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Pawlowsky-Glahn, Vera: Geostatistical analysis of compositional data / Vera Pawlowsky-Glahn; Ricardo A. Olea. - New York [u.a.]: Oxford University Press, 2004. - XIV, 181 S. : Ill., graph. Darst., ISBN 978-0-19-517166-2 (Studies in mathematical geology ; 7)
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Signatur: UBN/ZA 63000 P339
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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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