Results 11 to 20 of about 6,631 (202)
Kriging for interpolation in random simulation [PDF]
Journal of the Operational Research Society, 2003 Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D.G.Krige, and has recently been widely applied in deterministic simulation.This paper, however ...
van Beers, W.C.M., Kleijnen, J.P.C.
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Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation
Applied Sciences, 2023 The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm is applied to the spatial interpolation of depth images, together with the fractional-order differential method for edge recognition, to realise ...
Tingsheng Huang +4 more
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A GIS-Based Study of Air and Water Quality Trends in Madurai City, India [PDF]
Nature Environment and Pollution Technology, 2022 The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS).
L. Balaji, M. Muthukannan and R. Kanniga Devi
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Environmental and Sustainability Indicators, 2021 Mapping spatial variations in tree density and woody species diversity, as indicators of intactness of tropical forests and woodlands, is potentially useful to nature conservation managers.
C. Munyati, N.I. Sinthumule
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Random Forest Spatial Interpolation
Remote Sensing, 2020 For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques.
Aleksandar Sekulić +4 more
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Kriging interpolating cosmic velocity field [PDF]
Physical Review D, 2015 [abridged] Volume-weighted statistics of large scale peculiar velocity is preferred by peculiar velocity cosmology, since it is free of uncertainties of galaxy density bias entangled in mass-weighted statistics. However, measuring the volume-weighted velocity statistics from galaxy (halo/simulation particle) velocity data is challenging.
Yu, Yu +3 more
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Application of a four-dimensional space fractal interpolation algorithm in grade estimation
工程科学学报, 2015 Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian +3 more
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Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples
Geochemistry, Geophysics, Geosystems, 2023 Many applications in Earth sciences require spatial prediction, that is, obtaining a continuous scalar field from a set of discrete scalar data points on the Earth's surface.
N. J. Cosentino +4 more
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Interpolating commodity futures prices with Kriging [PDF]
SSRN Electronic Journal, 2021 The shape of the futures term structure is essential to commodity hedgers and speculators as futures prices serve as a forecast of future spot prices. Commodity markets quotes futures prices on a selection of maturities and delivery periods. In this note, we investigate a Bayesian technique known as Kriging to build a term structure of futures prices ...
Maran, Andrea, Pallavicini, Andrea
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مجله آب و خاک, 2014 Available accurate and reliable precipitation data are so important in water resources management and planning. In this study,to determine the best method of regional precipitation estimate in Khuzestan province, estimated daily precipitation data from ...
M. Jamei +2 more
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