Results 141 to 150 of about 2,909,867 (244)

Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping

Machine learning and geostatistics are two fundamentally different frameworks for predicting and spatially mapping soil properties. Geostatistics leverages the spatial structure of soil properties, while machine learning captures the relationship between available environmental features and soil properties.
Schmidinger, Jonas, Barkov, Viacheslav, Vogel, Sebastian, Atzmueller, Martin, Heuvelink, Gerard B M   +4 more
openaire   +2 more sources

Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging [PDF]

Cokriging is a multivariate spatial method to estimate spatial correlated variables. This method allows spatial estimations to be made and interpolated maps of house price to be created.
Jorge Chica-Olmo
core  

Hybrid kriging methods for interpolating sparse river bathymetry point data

Ciência e Agrotecnologia
Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points.
Pedro Velloso Gomes Batista, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Marcelo Silva de Oliveira, Michele Duarte de Menezes, Nilton Curi   +5 more
doaj   +1 more source

Semi-Parametric Functional Kriging Regression Model with L1 Penalty

Highlights in Science, Engineering and Technology
Partial functional linear models are widely studied and applied models, where the response variable is related to both general random variables and functional random variables. However, with the increasing application of data scenarios involving functional and vector-valued covariates and scalar responses in modern science, this paper proposes a ...
Rui Chen, Zhiyong Zhou
openaire   +1 more source

Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging

, 2021
Jui‐Han Chang, D. Hart, D. Munroe, E. Curchitser   +3 more
semanticscholar   +1 more source

Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging. [PDF]

Sensors (Basel), 2019
Ding L, Li Z, Wang X, Yan R, Shen B, Chen B, Xin X.   +6 more
europepmc   +1 more source

Explaining and Connecting Kriging with Gaussian Process Regression

13 pag.
openaire   +2 more sources

Reliable low-cost co-kriging modeling of microwave devices [PDF]

, 2012
Couckuyt, Ivo, Dhaene, Tom, Koziel, Slawomir   +2 more
core   +1 more source

Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions. [PDF]

Sci Rep
Manaf M, Ali Z, Scholz M.
europepmc   +1 more source

PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION

, 2016
In the Gypsum Pole of Araripe, semiarid zone of Pernambuco, where is produces 97% of the plaster consumed in Brazil, a forest experiment with 1875 eucalyptus was cut off and all the trees were rigorously cubed by the Smalian method. The location of each tree was marked on a Cartesian plane, and a sample of 200 trees was removed by entirely random ...
Lundgren, Wellington Jorge Cavalcanti, Silva, José Antônio Aleixo da, Ferreira, Rinaldo Luiz Caraciolo   +2 more
openaire   +1 more source