Results 71 to 80 of about 543,708 (320)
Ordinary kriging for function-valued spatial data
Environmental and Ecological Statistics, 2010 In various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor.
Giraldo, R. +2 more
openaire +3 more sources
Advancing Cave Survey Methods: High‐Precision Mapping in Drakotrypa Cave, Greece
Archaeological Prospection, EarlyView.ABSTRACT Cave floor mapping plays a vital role across various scientific disciplines by enabling the identification and interpretation of features shaped by both natural processes and human activity. In cave archaeology, floor mapping is crucial to decode and reconstruct human‐induced morphological features.
Christos Pennos +5 more
wiley +1 more source
Linearity and Lagrange Linear Multiplicator in the Equations of Ordinary Kriging [PDF]
, 2009 Analizirane su jednadžbe jednostavnoga i običnoga kriginga kako bi se uočila razlika u izračunu procjene u točki, te zorno prikazalo na koji način se Lagrangeov multiplikator iskazuje kao veličina u tehnici običnoga kriginga koja minimizira varijancu ...
Davorin Balić, Tomislav Malvić
core +1 more source
Polynomial-Chaos-based Kriging
, 2015 Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Grade estimation of Zu2 Jajarm deposit by considering imprecise variogram model parameters based on the extension principle [PDF]
International Journal of Mining and Geo-Engineering, 2018 Nowadays, kriging has been accepted as the most common method of grade estimation in mineral resource evaluation stage. Access to the crisp assay data and a variogram model are the necessary means for the utilization of this method. Since fitting a crisp
Saeed Soltani +2 more
doaj +1 more source
Deep Underground Science and Engineering, EarlyView.In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera +2 more
wiley +1 more source
A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
, 2019 Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core
Sparse estimation in ordinary kriging for functional data
, 2023 We introduce a sparse estimation in the ordinary kriging for functional data. The functional kriging predicts a feature given as a function at a location where the data are not observed by a linear combination of data observed at other locations. To estimate the weights of the linear combination, we apply the lasso-type regularization in minimizing the
Matsui, Hidetoshi, Yamakawa, Yuya
openaire +2 more sources
Mapping Soil Electrical Conductivity Using Ordinary Kriging Combined with Back-propagation Network
Chinese Geographical Science, 2019 Accurate mapping of soil salinity and recognition of its influencing factors are essential for sustainable crop production and soil health. Although the influencing factors have been used to improve the mapping accuracy of soil salinity, few studies have
Yajie Huang +6 more
semanticscholar +1 more source