Results 141 to 150 of about 21,210 (233)

A Machine Learning‐Based High‐Resolution Inventory of Soil Inorganic Carbon Across the Contiguous United States

open access: yesGeophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract Soil inorganic carbon (SIC) is critical for carbon sequestration, infiltration, and climate modeling, yet quantifying its precise spatial distribution at continental scales remains challengings. We introduce a high‐resolution (30 m) CONUS SIC map using machine learning (ML) models trained on the ISRIC World Soil Information Service (WoSIS ...
Zahra Ghahremani   +4 more
wiley   +1 more source

Geostatistics for functional data: an ordinary kriging approach

open access: yes, 2007
We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterium used in multi- variable spatial prediction in order to estimate the kriging parameters.
Giraldo, Ramón   +2 more
openaire   +1 more source

geofd: An R Package for Function-Valued Geostatistical Prediction geofd: un paquete R para predicción geoestadística de datos funcionales

open access: yesRevista Colombiana de Estadística, 2012
Spatially correlated curves are present in a wide range of applied disciplines. In this paper we describe the R package geofd which implements ordinary kriging prediction for this type of data.
RAMÓN GIRALDO   +2 more
doaj  

Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction. [PDF]

open access: yesSci Rep
Grich S   +5 more
europepmc   +1 more source

Lognormal Ordinary Kriging Metamodel in Simulation Optimization

open access: yesOperations Research and Applications : An International Journal, 2018
Muzaffer Balaban, Berna Dengiz
openaire   +1 more source

Spatial prediction of dog population distribution in Kenya. [PDF]

open access: yesPLoS One
Das M   +4 more
europepmc   +1 more source

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