| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
International Geostatistics Congress 2024/ edited by Leonardo Azevedo ... [et al.]. |
| other author: |
Azevedo, Leonardo. |
| corporate name: |
International Geostatistics Congress |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xvii, 558 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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 |
| Subject: |
Geology - Congresses. - Statistical methods - |
| Online resource: |
https://doi.org/10.1007/978-3-031-92870-3 |
| ISBN: |
9783031928703 |