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Kriging Interpolation in Simulation: A Survey [PDF]
van Beers, W.C.M., Kleijnen, J.P.C.
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Kriging-based prediction and interpolation for modeling pedestrian dynamics
2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017We investigate the use of kriging, which is a spatial statistical tool in random fields, for modeling pedestrian dynamics with interaction between pedestrians. In particular we focus on a comparison of prediction and interpolation of pedestrian movements and we discuss advantages and disadvantages of these two computations and demonstrate them with ...
Kazuhiko Kawamoto +2 more
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A kriging interpolation model for geographical flows
International Journal of Geographical Information Science, 2023Ya Fang +6 more
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Spatial Interpolation of Groundwater Levels by Kriging
Journal of the Geological Society of India, 2007Abstract The command areas of canal irrigation projects in Rajasthan face the problem of rising groundwater level and manifestation of waterlogging at many places. To delineate the extent of waterlogged area, contour mapping of groundwater levels is required, which in turn require the interpolation of groundwater levels, measured in ...
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Ordinary kriging interpolation for indoor 3D REM
Journal of Ambient Intelligence and Humanized Computing, 2022Pradipta Maiti, Debjani Mitra
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Interpolation of Concentration Measurements by Kriging Using Flow Coordinates
2012Groundwater contaminant plumes frequently display a curvilinear anisotropy, which conventional kriging and geostatistical simulation approaches fail to reproduce properly. In many applications, physically relevant coordinate transformations are used to modify the relationships between data points and simplify the specification of nonlinear anisotropy ...
Martine Rivest +2 more
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Moving kriging interpolation and element‐free Galerkin method
International Journal for Numerical Methods in Engineering, 2002AbstractA new formulation of the element‐free Galerkin (EFG) method is presented in this paper. EFG has been extensively popularized in the literature in recent years due to its flexibility and high convergence rate in solving boundary value problems.
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Improvement of Kriging interpolation with learning kernel in environmental variables study
International Journal of Production Research, 2022Yongxia Liu, Lixin Tang
exaly
Characteristics of RSSI Kriging Interpolated Value in Neighborhood of Buildings
2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), 2022Ryo Miyamoto +3 more
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