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International Geostatistics Congress 2024

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	International Geostatistics Congress 2024/ edited by Leonardo Azevedo ... [et al.].
其他作者:	Azevedo, Leonardo.
團體作者:	International Geostatistics Congress
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xvii, 558 p. :ill. (some col.), digital ;24 cm.
內容註:	Theory -- Optimising Kriging Parameters with Evolutionary Algorithms: Genetic Kriging Neighbourhood Analysis -- Iterative Gaussianisation with Householder Transformation -- Model Validation with an Ensemble of Exhaustive 2D Multivariate, Continuous, and Categorical Datasets -- High-Order Stochastic Simulation via Semidefinite Programming -- On the Influence of the Correlation Path in Incremental Multi-well Stratigraphic Correlation -- New Families of Covariance Functions -- Predefining Connectivity in Geostatistical Models Using the Plurigaussian Method -- A Bayesian Quantile Clustering Approach of Spatio-temporal Climate Time-series -- Environmental Engineering and Ecology -- "Real-time" Geostatistics for an Uncertainty Driven Environmental Soils Characterization-First Field Algorithms Reviewed and Discussed -- Geospatiotemporal Data Integration and Modeling for Environmental Prediction in Large Agricultural Systems -- Geostatistics for Spatial Extremes: Recent Approaches.
Contained By:	Springer Nature eBook
標題:	Geology - Congresses. - Statistical methods -
電子資源:	https://doi.org/10.1007/978-3-031-92870-3
ISBN:	9783031928703

International Geostatistics Congress 2024
International Geostatistics Congress 2024[electronic resource] /edited by Leonardo Azevedo ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvii, 558 p. :ill. (some col.), digital ;24 cm. - Quantitative geology and geostatistics,v. 202215-1834 ;. - Quantitative geology and geostatistics ;v. 20..

Theory -- Optimising Kriging Parameters with Evolutionary Algorithms: Genetic Kriging Neighbourhood Analysis -- Iterative Gaussianisation with Householder Transformation -- Model Validation with an Ensemble of Exhaustive 2D Multivariate, Continuous, and Categorical Datasets -- High-Order Stochastic Simulation via Semidefinite Programming -- On the Influence of the Correlation Path in Incremental Multi-well Stratigraphic Correlation -- New Families of Covariance Functions -- Predefining Connectivity in Geostatistical Models Using the Plurigaussian Method -- A Bayesian Quantile Clustering Approach of Spatio-temporal Climate Time-series -- Environmental Engineering and Ecology -- "Real-time" Geostatistics for an Uncertainty Driven Environmental Soils Characterization-First Field Algorithms Reviewed and Discussed -- Geospatiotemporal Data Integration and Modeling for Environmental Prediction in Large Agricultural Systems -- Geostatistics for Spatial Extremes: Recent Approaches.

This book explains applications of geostatistics in mining and petroleum engineering and presents advances in theoretical geostatistics. The 12th International Geostatistical Congress follows a long tradition where theoreticians, engineers and practitioners working on geostatistics gather for four days. In 2024, the 12th International Geostatistical Congress was held in the middle of the North Atlantic in Azores. This edition covers the fields of mineral and energy resources engineering, environment, hydrology, ecology, soil sciences, remote sensing, agriculture, fishery, health, spatial data science and the challenges related to sustainable development and carbon neutrality.

ISBN: 9783031928703

Standard No.: 10.1007/978-3-031-92870-3doiSubjects--Topical Terms:

598900
Geology
--Statistical methods--Congresses.

LC Class. No.: QE33.2.S82

Dewey Class. No.: 551.0727

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