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A Terrain-Constrained TIN Approach for High-Precision DEM Reconstruction Using UAV Point Clouds. [PDF]
J ImagingHe Z, Gan S, Yuan X.
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Research on Seafloor 3D Reconstruction Method Based on Sparse Measurement Points. [PDF]
Sensors (Basel)Xiao E +6 more
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Disjunctive kriging, universal kriging, or no kriging: Small sample results with simulated fields
Mathematical Geology, 1986This paper provides a comparison between linear (universal) and nonlinear (disjunctive) kriging estimators when they are computed from small samples chosen randomly on simulated stationary and nonstationary fields. Point estimation results are reported.
Carlos E. Puente, Rafael L. Bras
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Rock Kriging with the Microscope
Mathematical Geology, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Voytekhovsky, Y. L., Fishman, M. A.
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Journal of China University of Geosciences, 2008
Indicator kriging (IK) is a spatial interpolation technique devised for estimating a conditional cumulative distribution function at an unsampled location. The result is a discrete approximation, and its corresponding estimated probability density function can be viewed as a composition in the simplex. This fact suggested a compositional approach to IK
Tolosana-Delgado, Raimon +2 more
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Indicator kriging (IK) is a spatial interpolation technique devised for estimating a conditional cumulative distribution function at an unsampled location. The result is a discrete approximation, and its corresponding estimated probability density function can be viewed as a composition in the simplex. This fact suggested a compositional approach to IK
Tolosana-Delgado, Raimon +2 more
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Information Sciences, 1997
This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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Regularized Kriging: The Support Vectors Method Applied to Kriging
2003We explore the possible advantages of relaxing the universal kriging non-bias condition using the Support Vectors methodology. This leads to a regularized problem with restrictions, in which the objective function is the traditional variance term plus a term that penalises the bias, and whose resolution gives rise to a continuum of solutions for ...
José M. Matías +1 more
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Lognormal Kriging: Bias Adjustment and Kriging Variances
2005Lognormality of spatial data occurs commonly enough for it to warrant continued study; contemporary statistical and computational methodologies can shed new light on the old problem of block kriging for lognormal processes. There are a number of proposals available for block kriging, many of them discussed in an unpublished, 43-page, Centre de ...
Noel Cressie, Martina Pavlicová
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Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hans Bandemer, Albrecht Gebhardt
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Hans Bandemer, Albrecht Gebhardt
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