Results 1 to 10 of about 12,097 (212)
GSTools v1.3: a toolbox for geostatistical modelling in Python [PDF]
Geoscientific Model Development, 2022 Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, for example, earth sciences. Valuable information can be extracted from these correlations, also helping to address the often encountered
S. Müller +8 more
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Applied Computing and Geosciences, 2022 Multiple-point statistics algorithms allow modeling spatial variability from training images. Among these techniques, the Direct Sampling (DS) algorithm has advanced capabilities, such as multivariate simulations, treatment of non-stationarity, multi ...
Przemysław Juda +2 more
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An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms
Frontiers in Artificial Intelligence, 2021 In hydrogeology, inverse techniques have become indispensable to characterize subsurface parameters and their uncertainty. When modeling heterogeneous, geologically realistic discrete model spaces, such as categorical fields, Monte Carlo methods are ...
Przemysław Juda +2 more
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Mining, 2022 This study illustrates the application of conditional simulations to calculate the uncertainty associated with the thickness of bauxite ores. The bauxite deposit of Rondon do Pará in northern Pará State, Brazil, is characterized by a well-defined ...
Saulo B. de Oliveira +2 more
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Assessment of uncertainty for coal quality-tonnage curves through minimum spatial cross-correlation simulation [PDF]
International Journal of Mining and Geo-Engineering, 2018 Coal quality-tonnage curves are helpful tools in optimum mine planning and can be estimated using geostatistical simulation methods. In the presence of spatially cross-correlated variables, traditional co-simulation methods are impractical and time ...
Babak Sohrabian +2 more
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Projection Pursuit Multivariate Sampling of Parameter Uncertainty
Applied Sciences, 2022 The efficiency of sampling is a critical concern in Monte Carlo analysis, which is frequently used to assess the effect of the uncertainty of the input variables on the uncertainty of the model outputs.
Oktay Erten +2 more
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A geostatistical analysis of geostatistics [PDF]
Scientometrics, 2009 The bibliometric indices of the scientific field of geostatistics were analyzed using statistical and spatial data analysis. The publications and their citation statistics were obtained from the Web of Science (4000 most relevant), Scopus (2000 most relevant) and Google Scholar (5389).
Tomislav Hengl +2 more
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Anais da Academia Brasileira de Ciências, 2023 In Compost-Bedded Pack Barn (CBP) systems, air velocity is linked with the thermal comfort of housed dairy cattle and bedding quality and, therefore, assessing ventilation efficiency is essential.
CARLOS EDUARDO A. OLIVEIRA +9 more
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GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation [PDF]
Geoscientific Model Development, 2023 The interpolation of geospatial phenomena is a common problem in Earth science applications that can be addressed with geostatistics, where spatial correlations are used to constrain interpolations.
E. J. MacKie +9 more
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Bulletin of the Mineral Research and Exploration, 2022 Magmatic processes that emerged with the evolution of the Neotethys ocean and associated lithospheric plates caused the formation of significant mineralization in the Tethys belt.
Mustafa Özkan +10 more
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