International Geostatistics Congress 2024
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 d...
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| Format: | Elektronski eKnjiga |
| Jezik: | angleščina |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Izdaja: | 1st ed. 2025. |
| Serija: | Quantitative Geology and Geostatistics,
20 |
| Teme: | |
| Online dostop: | https://doi.org/10.1007/978-3-031-92870-3 |
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| 245 | 1 | 0 | |a International Geostatistics Congress 2024 |h [electronic resource] / |c edited by Leonardo Azevedo, João Narciso, Amílcar Soares, Maria João Pereira, José Antonio Vargas-Guzmán. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XVII, 558 p. 268 illus.). |b 258 illus. in color. | ||
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| 490 | 1 | |a Quantitative Geology and Geostatistics, |x 2215-1834 ; |v 20 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Geotechnical engineering. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Geology. | |
| 650 | 1 | 4 | |a Geotechnical Engineering and Applied Earth Sciences. |
| 650 | 2 | 4 | |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | |a Geology. |
| 700 | 1 | |a Azevedo, Leonardo. |e editor. |0 (orcid)0000-0002-0677-079X |1 https://orcid.org/0000-0002-0677-079X |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Narciso, João. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Soares, Amílcar. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Pereira, Maria João. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Vargas-Guzmán, José Antonio. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031928697 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031928710 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031928727 |
| 830 | 0 | |a Quantitative Geology and Geostatistics, |x 2215-1834 ; |v 20 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-92870-3 |
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| 950 | |a Springer Nature Proceedings excluding Computer Science (SpringerNature-85345) | ||
| 950 | |a Focus Bundle Earth Sciences and Geography (SpringerNature-85399) | ||