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Mixed‐point geostatistical simulation: A combination of two‐ and multiple‐point geostatistics

Geophysical research letters, 2016-09, Vol.43 (17), p.9030-9037

2016

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Multiple-point geostatistics: stochastic modeling with training images

1, 2014

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Machine learning for digital soil mapping: Applications, challenges and suggested solutions

Earth-science reviews, 2020-11, Vol.210, p.103359, Article 103359

2020

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Spatial variability of soil organic matter using remote sensing data

Catena (Giessen), 2016-10, Vol.145, p.118-127

2016

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Detection of undercover karst features by geophysics (ERT) Lascaux cave hill

Geomorphology (Amsterdam, Netherlands), 2020-07, Vol.360, p.107177-13, Article 107177

2020

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A training image evaluation and selection method based on minimum data event distance for multiple-point geostatistics

Computers & geosciences, 2017-07, Vol.104, p.35-53

2017

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Multiple-point geostatistical modeling based on the cross-correlation functions

Computational geosciences, 2012-06, Vol.16 (3), p.779-797

2012

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Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation

Computers & geosciences, 2021-12, Vol.157, p.104923, Article 104923

2021

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Connectivity as an emergent property of geomorphic systems

Earth surface processes and landforms, 2019-01, Vol.44 (1), p.4-26

2019

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Geostatistical Functional Data Analysis

1, 2021

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LSHSIM: A Locality Sensitive Hashing based method for multiple-point geostatistics

Computers & geosciences, 2017-10, Vol.107, p.49-60

2017

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MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space

Computers & geosciences, 2014-06, Vol.67, p.75-88

2014

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Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes

Journal of geophysical research. Earth surface, 2020-03, Vol.125 (3), p.n/a

2020

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Visualising data distributions with kernel density estimation and reduced chi-squared statistic

Di xue qian yuan., 2017-11, Vol.8 (6), p.1247-1252

2017

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A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

Catena (Giessen), 2020-05, Vol.188, p.104425, Article 104425

2020

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Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM

Frontiers in earth science (Lausanne), 2018-12, Vol.6

2018

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A tutorial guide to geostatistics: Computing and modelling variograms and kriging

Catena (Giessen), 2014-02, Vol.113, p.56-69

2014

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Arsenic contamination of drinking water in Ireland: A spatial analysis of occurrence and potential risk

The Science of the total environment, 2017-02, Vol.579, p.1863-1875

2017

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Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods

Journal of hydrology (Amsterdam), 2023-02, Vol.617, p.129129, Article 129129

2023

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Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter

Journal of hydrology (Amsterdam), 2017-05, Vol.548, p.208-224

2017

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On the spatio-temporal dynamics of soil moisture at the field scale

Journal of hydrology (Amsterdam), 2014-08, Vol.516, p.76-96

2014

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Assessment of spatial hybrid methods for predicting soil organic matter using DEM derivatives and soil parameters

Catena (Giessen), 2019-03, Vol.174, p.206-216

2019

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Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology

Journal of hydrology (Amsterdam), 2020-12, Vol.591, p.125266, Article 125266

2020

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An archaeological strontium isoscape for the prehistoric Andes: Understanding population mobility through a geostatistical meta-analysis of archaeological 87Sr/86Sr values from humans, animals, and artifacts

Journal of archaeological science, 2020-05, Vol.117, p.105121, Article 105121

2020

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Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

Advances in water resources, 2017-12, Vol.110, p.387-405

2017

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Mixed‐point geostatistical simulation: A combination of two‐ and multiple‐point geostatistics

Multiple-point geostatistics: stochastic modeling with training images

Machine learning for digital soil mapping: Applications, challenges and suggested solutions

Spatial variability of soil organic matter using remote sensing data

Detection of undercover karst features by geophysics (ERT) Lascaux cave hill

A training image evaluation and selection method based on minimum data event distance for multiple-point geostatistics

Multiple-point geostatistical modeling based on the cross-correlation functions

Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation

Connectivity as an emergent property of geomorphic systems

Geostatistical Functional Data Analysis

LSHSIM: A Locality Sensitive Hashing based method for multiple-point geostatistics

MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space

Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes

Visualising data distributions with kernel density estimation and reduced chi-squared statistic

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM

A tutorial guide to geostatistics: Computing and modelling variograms and kriging

Arsenic contamination of drinking water in Ireland: A spatial analysis of occurrence and potential risk

Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods

Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter

On the spatio-temporal dynamics of soil moisture at the field scale

Assessment of spatial hybrid methods for predicting soil organic matter using DEM derivatives and soil parameters

Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology

An archaeological strontium isoscape for the prehistoric Andes: Understanding population mobility through a geostatistical meta-analysis of archaeological 87Sr/86Sr values from humans, animals, and artifacts

Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

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