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.
openaire +1 more source
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
Spatial prediction of dog population distribution in Kenya. [PDF]
Das M +4 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
europepmc +1 more source
Data harmonization of environmental variables: from simple to general solutions [PDF]
Baume, O.P. +4 more
core +1 more source
Comprehensive Measurement-Based Assessment of Downlink RF-EMF Exposure in Urban Environments: Multi-Method Analysis and Intercomparison. [PDF]
Wang S +8 more
europepmc +1 more source
Network optimization algorithms and scenarios in the context of automatic mapping [PDF]
Baume, O.P. +4 more
core
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

