Results 61 to 70 of about 31,794 (205)
Analysing spatial data via geostatistical methods [PDF]
Faculty of Science School of Statistics snd Acturial Science 9907894x craig.morgan@goldfields.co.zaThis dissertation presents a detailed study of geostatistics.
Morgan, Craig John
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How Does Heterogeneity Control Strain Localization Patterns in High‐Porosity Rocks?
Abstract We aim to explore how heterogeneous porosity and grain size contribute to strain localization patterns in highly porous rocks based on phase‐field simulations. The strain localization patterns, including shear bands, dilatation bands, and compaction bands, are commonly observed in geological field studies and laboratory experiments.
Yunteng Wang +4 more
wiley +1 more source
CROATIAN GEOSTATISTICAL DICTIONARY
Geostatistical model and interpretation very often are made by using computer programs. Consequently, application and development of geostatistics are closely connected with progress of informatics and computers.
Tomislav Malvić +1 more
doaj
The detection and monitoring of environmental degradation requires both low-cost and easy-to-perform techniques. This study intended to conduct sampling and use geostatistics to predict the spatial variability of environmental degradation indicators. The
Sebastião Cavalcante de Sousa +4 more
doaj +1 more source
History Matching Using Principal Component Analysis [PDF]
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Sharma, Akshay, Sharma, Akshay
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Reactions in Unsaturated Soils: On the Dynamic Role of Heterogeneity‐Controlled Mixing
Abstract Soils are complex systems where different physical, chemical and biological processes occurring simultaneously and interact in a non‐linear way. Additionally, the high degree of soil heterogeneity poses significant challenges in studying soil reactivity due to its high impact on mixing.
Christopher V. Henri +1 more
wiley +1 more source
Performing Spatial Variabilityof Peat Depth by Using Geostatistics
Geostatistics has been knowns as a reliable tool to explore variability in space of any measured parameter. This research aims to study how peat depth change and vary in space using geostatistics aproach.
Zuhdi Mohd. +3 more
doaj +1 more source
Accurate digital soil mapping (DSM) of soil organic carbon (SOC) is still a challenging subject because of its spatial variability and dependency. This study is aimed at comparing six typical methods in three types of DSM techniques for SOC mapping in an
Lin Chen +6 more
doaj +1 more source
Abstract Large‐scale groundwater quality prediction is often constrained by sparse sampling, limiting the reliability of spatial assessments. This study introduces Tabular Prior‐data Fitted Network (TabPFN), a machine learning model based on prior‐fitting networks, to address this challenge and enable high‐precision mapping of groundwater bicarbonate ...
Tong Sun +8 more
wiley +1 more source
Geostatistics has been successfully used to analyse and characterize the spatial variability of environmental properties. Besides providing estimated values at unsampled locations, geostatistics measures the accuracy of the estimate, which is a ...
Patrícia Alexandra Gregório Ramos
doaj +1 more source

