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[null,"1.","Record Nr.",null,"UNISALENTO991002862889707536"]
[null,null,"Autore",null,"Delisi, Bruno"]
[null,null,"Titolo",null,"Gavetta nera / Bruno Delisi"]
[null,null,"Pubbl/distr/stampa",null,"Roma : L'arnia, stampa 1950"]
[null,null,"Descrizione fisica",null,"143 p. ; 18 cm."]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910669808203321"]
[null,null,"Autore",null,"Avalos Sotomayor Sebastian Alejandro"]
[null,null,"Titolo",null,"Geostatistics Toronto 2021 : Quantitative Geology and Geostatistics / / edited by Sebastian Alejandro Avalos Sotomayor, Julian M. Ortiz, R. Mohan Srivastava"]
[null,null,"Pubbl/distr/stampa",null,"2023"]
[{"$nulls":4},"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-19845-X"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (282 pages)"]
[null,null,"Collana",null,"Springer Proceedings in Earth and Environmental Sciences, , 2524-3438"]
[null,null,"Classificazione",null,"MAT029000SCI019000SCI032000"]
[null,null,"Disciplina",null,"624.151"]
[null,null,"Soggetti",null,"Geotechnical engineering"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Geophysics"]
[{"$nulls":4},"Geotechnical Engineering and Applied Earth Sciences"]
[{"$nulls":4},"Applied Statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"A Geostatistical Heterogeneity Metric For Spatial Feature Engineering -- Iterative Gaussianisation For Multivariate Transformation -- Comparing And Detecting Stationarity And Dataset Shift -- Simulation Of Stationary Gaussian Random Fields With A Gneiting Spatio-Temporal Covariance -- Spectral Simulation Of Gaussian Vector Random Fields On The Sphere -- Geometric And Geostatistical Modeling Of Point Bars -- Application Of Reinforcement Learning For Well Location Optimization -- Compression-Based Modelling Honouring Facies Connectivity In Diverse Geological Systems -- Spatial Uncertainty In Pore Pressure Models At The Brazilian Continental Margin -- The Suitability Of Different Training Images For Producing Low Connectivity, High Net:Gross Pixel-Based Mps Models -- Probabilistic Integration Of Geomechanical And Geostatistical Inferences For Mapping Natural Fracture Networks."]
[null,null,null,"Sommario/riassunto","This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and "]
[{"$nulls":4},"artificial intelligence and machine learning. All contributions were presented at the 11th 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."]