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Uncertainty and Uncertainty Propagation in Soil Mapping and Modelling
2018In previous chapters, the use of geostatistical modelling for soil mapping was addressed. We learnt that one of the advantages of kriging is that it not only produces a map of predictions but that it also quantifies the uncertainty about the predictions, through the kriging standard deviation. In this chapter we will look into this in more detail.
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Geotechnical uncertainty, modeling, and decision making
Soils and Foundations, 2022Kok-Kwang Phoon, Zi-Jun Cao, Jian Ji
exaly
Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation
Symmetry, 2022Chong Wang, Xin Qiang, Menghui Xu
exaly
Modeling of 3D geometry uncertainty in Scan-to-BIM automatic indoor reconstruction
Automation in Construction, 2023M Jarząbek-Rychard, Hans-Gerd Maas
exaly
Uncertainty in Surrogate Models
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016openaire +1 more source
An application-oriented view of modeling uncertainty
European Journal of Operational Research, 2000H -J Zimmermann
exaly