[HTML][HTML] Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms
G Szatmári, L Pásztor - Geoderma, 2019 - Elsevier
We compared the suitability of several commonly applied digital soil mapping (DSM)
techniques to quantify uncertainty with regards to a survey of soil organic carbon stock …
techniques to quantify uncertainty with regards to a survey of soil organic carbon stock …
High-resolution mapping and assessment of salt-affectedness on arable lands by the combination of ensemble learning and multivariate geostatistics
Soil salinization is one of the main threats to soils worldwide, which has serious impacts on
soil functions. Our objective was to map and assess salt-affectedness on arable land (0.85 …
soil functions. Our objective was to map and assess salt-affectedness on arable land (0.85 …
[HTML][HTML] Joint spatial modeling of nutrients and their ratio in the sediments of Lake Balaton (Hungary): A multivariate geostatistical approach
Eutrophication, water quality, and environmental status of lakes is a global issue that
depends not only on external loadings from industrial, agricultural, and municipal sources …
depends not only on external loadings from industrial, agricultural, and municipal sources …
Sequential Indicator Simulations maps of porosity, depth and thickness of Miocene clastic sediments in the Kloštar Field, Northern Croatia
Data from selected Lower Pontian sandstone reservoir in the Kloštar Field, situated in the
Sava Depression (Northern Croatia), were used for mapping with Sequential Indicator …
Sava Depression (Northern Croatia), were used for mapping with Sequential Indicator …
Theory of deterministical and stochastical indicator mapping methods and their applications in reservoir characterization, case study of the Upper Miocene reservoir in …
KN Zelenika - Rudarsko-geološko-naftni zbornik, 2017 - hrcak.srce.hr
The paper describes indicator based geostatistical methods (Indicator Kriging and
Sequential Indicator Simulations), mostly used for facies mapping or facies modeling …
Sequential Indicator Simulations), mostly used for facies mapping or facies modeling …
Testing a sequential stochastic simulation method based on regression kriging in a catchment area in Southern Hungary
Sažetak Modelling spatial variability and uncertainty is a highly challenging subject in soil-
and geosciences. Regression kriging (RK) has several advantages; nevertheless it is not …
and geosciences. Regression kriging (RK) has several advantages; nevertheless it is not …
Petroleum system modeling and assessment of the remaining hydrocarbon potential in the eastern part of Drava Depression
M Cvetković, I Emanović, A Stopar, P Slavinić - Interpretation, 2018 - library.seg.org
The eastern part of the Drava Depression presents a relatively small part within the Croatian
part of the Pannonian Basin. A confined part within the eastern part of the Drava Depression …
part of the Pannonian Basin. A confined part within the eastern part of the Drava Depression …
Using machine learning techniques to solve digital soil mapping issues: spatial extrapolation and joint spatial modelling of soil properties
F Hateffard - 2023 - search.proquest.com
Introduction: DSM has been utilized successfully for several applications since the early
2000s, including precision agriculture, environmental monitoring, and land use planning …
2000s, including precision agriculture, environmental monitoring, and land use planning …
Geostatisztika a talajtérképezésben–Szemle–
G Szatmári, L Pásztor - Agrokémia és talajtan, 2016 - akjournals.com
Az 1980-as évek elejétől kezdődően a geostatisztikai módszerek és a regio-nalizált változók
elmélete egyre szélesebb körben került felhasználásra a talajtérké-pezésben, illetve a …
elmélete egyre szélesebb körben került felhasználásra a talajtérké-pezésben, illetve a …
Statistical and geostatistical study of Rn and hydrocarbon components of a soil gas monitoring system: an application to surface hydrocarbon exploration
Sažetak This work addresses three topics:(1) the study of the joint areal distribution of the Rn
and hydrocarbon components of soil gases over a large region overlying some known …
and hydrocarbon components of soil gases over a large region overlying some known …