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International Geostatistics Congress 2024 [Kõva köide]

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  • Formaat: Hardback, 598 pages, kõrgus x laius: 235x155 mm, 275 Illustrations, color; 8 Illustrations, black and white; XIII, 598 p. 283 illus., 275 illus. in color., 1 Hardback
  • Sari: Quantitative Geology and Geostatistics 20
  • Ilmumisaeg: 22-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031928695
  • ISBN-13: 9783031928697
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International Geostatistics Congress 2024Suurem pilt
  • Formaat: Hardback, 598 pages, kõrgus x laius: 235x155 mm, 275 Illustrations, color; 8 Illustrations, black and white; XIII, 598 p. 283 illus., 275 illus. in color., 1 Hardback
  • Sari: Quantitative Geology and Geostatistics 20
  • Ilmumisaeg: 22-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031928695
  • ISBN-13: 9783031928697
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031928697.html

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.

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
CharacterizationFirst Field Algorithms Reviewed and Discussed.-
Geospatiotemporal Data Integration and Modeling for Environmental Prediction
in Large Agricultural Systems.- Geostatistics for Spatial Extremes: Recent
Approaches.