Results 11 to 20 of about 5,570 (187)
Review of Dace-Kriging Metamodel [PDF]
This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the
Muzaffer Balaban
doaj
Modeling the distribution of invasive species (Ambrosia spp.) using regression kriging and Maxent
Invasion by non-native species due to human activities is a major threat to biodiversity. The niche hypothesis for invasive species that rapidly disperse and disturb ecosystems is easily discarded owing to eradication activities or unsaturated dispersal.
Ki Hwan Cho +4 more
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Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes +4 more
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This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
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Augmenting Geostatistics with Matrix Factorization: A Case Study for House Price Estimation
Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization.
Aisha Sikder, Andreas Züfle
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In South Africa (SA), smallholder farmers contribute significantly to food production and play an essential role in the nation’s food and nutritional security.
Seome Michael Swafo +1 more
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Regression and Classification by Zonal Kriging
Consider a family $Z=\{\boldsymbol{x_{i}},y_{i}$,$1\leq i\leq N\}$ of $N$ pairs of vectors $\boldsymbol{x_{i}} \in \mathbb{R}^d$ and scalars $y_{i}$ that we aim to predict for a new sample vector $\mathbf{x}_0$. Kriging models $y$ as a sum of a deterministic function $m$, a drift which depends on the point $\boldsymbol{x}$, and a random function $z ...
Jean Serra +2 more
openaire +2 more sources
North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT +4 more
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Random Forest Spatial Interpolation
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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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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