Results 1 to 10 of about 371,239 (124)
Enhanced spatial error concealment with directional entropy based interpolation switching [PDF]
, 2006 This paper describes a spatial error concealment method that uses edge related information for concealing missing macroblocks in a way that not only preserves existing edges but also avoids introducing new strong ones.
Agrafiotis, D, Bull, DR, Canagarajah, CN
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Distance in spatial interpolation of daily rain gauge data [PDF]
, 2005 Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. The spatial density of available data sites is often changing with time.
Ahrens, Bodo
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Interpolation of nonstationary high frequency spatial-temporal temperature data [PDF]
, 2013 The Atmospheric Radiation Measurement program is a U.S. Department of Energy project that collects meteorological observations at several locations around the world in order to study how weather processes affect global climate change.
Guinness, Joseph, Stein, Michael L.
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Random Forest Spatial Interpolation [PDF]
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. Kriging with external drift and regression kriging have become basic techniques that benefit both from spatial autocorrelation and covariate ...
Aleksandar Sekulić +4 more
openaire +4 more sources
A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data [PDF]
, 2015 We have developed a statistical gap-filling method adapted to the specific coverage and prop-erties of observed fugacity of surface ocean CO2(fCO2). We have used this method to interpolate the Sur-face Ocean CO2Atlas (SOCAT) v2 database on a 2.5832.58 ...
Andrew C. Manning +77 more
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Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products [PDF]
, 2018 We developed an approach to estimate snow water equivalent (SWE) through interpolation of spatially representative point measurements using a k-nearest neighbors (k-NN) algorithm and historical spatial SWE data.
Bales, RC +4 more
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The theory and practical application of techniques of statistical interpolation are studied in this thesis, and new developments in multivariate spatial interpolation and the design of sampling plans are discussed. Several applications to studies in soil science are presented.Sampling strategies for collecting spatial data (both the number of ...
TianXiang Yue +3 more
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Spatial interpolation of high-frequency monitoring data
, 2009 Climate modelers generally require meteorological information on regular grids, but monitoring stations are, in practice, sited irregularly. Thus, there is a need to produce public data records that interpolate available data to a high density grid ...
Stein, Michael L.
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Lattice constraints on the thermal photon rate [PDF]
, 2016 We estimate the photon production rate from an SU(3) plasma at temperatures of about 1.1Tc and 1.3Tc. Lattice results for the vector current correlator at spatial momenta k ~ (2-6)T are extrapolated to the continuum limit and analyzed with the help of a ...
Ghiglieri, J. +3 more
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