Results 31 to 40 of about 5,604 (198)
Patchwork Kriging for Large-scale Gaussian Process Regression
J. Mach. Learn. Res., 2017 This paper presents a new approach for Gaussian process (GP) regression for large datasets. The approach involves partitioning the regression input domain into multiple local regions with a different local GP model fitted in each region. Unlike existing local partitioned GP approaches, we introduce a technique for patching together the local GP models ...
Chiwoo Park, Daniel W. Apley
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Regression and kriging analysis for grid power factor estimation
Journal of Electrical Systems and Information Technology, 2014 The measurement of power factor (PF) in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency.
Rajesh Guntaka, Harley R. Myler
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Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Atmosphere, 2015 Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale ...
Maogui Hu +6 more
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A singularity regression kriging for spatial prediction
GIScience & Remote SensingAccurate spatial prediction remains challenging in heterogeneous environments where environmental variables exhibit nonlinear, multiscale, and non-Gaussian characteristics.
Kai Ren, Yongze Song, Min Chen, Qiang Yu
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Remote Sensing, 2017 Spatial prediction of precipitation with high resolution is a challenging task in regions with strong climate variability and scarce monitoring. For this purpose, the quasi-continuous supply of information from satellite imagery is commonly used to ...
Jacinto Ulloa +3 more
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中国科学数据, 2022 Aboveground biomass is an important parameter for the evaluation of the structure, function, quality and benefit of forest ecosystems. As Tianshan spruce is the most important tree species in the mountains of Xinjiang, the spatial data collection of ...
CAI Chaoyong +6 more
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Soil depth prediction supported by primary terrain attributes: a comparison of methods
Plant, Soil and Environment, 2006 The objective of this study was to investigate the benefits of methods that incorporate terrain attributes as covariates into the prediction of soil depth.
V. Penížek, L. Borůvka
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Remote Sensing, 2022 Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest management activities.
Junpeng Zhao +5 more
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Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging [PDF]
IEEE Geoscience and Remote Sensing Letters, 2015 Surface sensible heat flux (SHF) is a critical indicator for understanding heat exchange at the land-atmosphere interface. A common method for estimating regional SHF is to use ground observations with approaches such as eddy correlation (EC) or the use of a large aperture scintillometer (LAS).
Yong Ge +4 more
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A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source