Kriging Universal para Datos Funcionales
En diversos ámbitos de la ciencia con gran frecuencia los resultados suelen reflejarse por medio de curvas (datos funcionales). Con este trabajo se pretende dar una solución al problema de la predicción espacial de datos funcionales cuando no se evidencia estacionariedad.
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Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression. [PDF]
Young MT +6 more
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Universal Kriging Interpolator for Satellite-derived Global Data
This paper explores the use of universal Kriging to interpolate sparsely-sampled satellite-based atmospheric data for global display. The background for Kriging is discussed, the base algorithm is developed, the justification for the use of Kriging to interpolate global data is discussed, and ongoing Matlab optimizations are explored.
Coakley, Henry +2 more
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National PM2.5 spatiotemporal model integrating intensive monitoring data and land use regression in a likelihood-based universal kriging framework in the United States: 2000-2019. [PDF]
Wang M +6 more
europepmc +1 more source
A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology. [PDF]
Sampson PD +6 more
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Comprehensive Measurement-Based Assessment of Downlink RF-EMF Exposure in Urban Environments: Multi-Method Analysis and Intercomparison. [PDF]
Wang S +8 more
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Research on Seafloor 3D Reconstruction Method Based on Sparse Measurement Points. [PDF]
Xiao E +6 more
europepmc +1 more source
Optimal interpolation methods for predicting groundwater levels in Abu Dhabi Emirate using ArcGIS. [PDF]
Maksoud T, Alkhawaga A, Mohamed M.
europepmc +1 more source
Comparative analysis of soil organic carbon across different land types in plateau wetlands using Kriging interpolation based on spatial heterogeneity. [PDF]
Wen X, Luo W, Yang X, Li F, Zhang Z.
europepmc +1 more source
A Terrain-Constrained TIN Approach for High-Precision DEM Reconstruction Using UAV Point Clouds. [PDF]
He Z, Gan S, Yuan X.
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