A spectral method for spatial downscaling

DOI10.1111/biom.12196zbMath1393.62127OpenAlexW2149744566WikidataQ34771649 ScholiaQ34771649MaRDI QIDQ3465371

Brian J. Reich, Howard H. Chang, Kristen Foley

Publication date: 21 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4276454

zbMATH Keywords

krigingmultiscale analysisdata fusioncomputer model output

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Inference from stochastic processes and spectral analysis (62M15)

Related Items (7)

A fused Lasso approach to nonstationary spatial covariance estimation ⋮ Spatial Shrinkage Via the Product Independent Gaussian Process Prior ⋮ Spatiotemporal exposure prediction with penalized regression ⋮ Identifying trends in the spatial errors of a regional climate model via clustering ⋮ Spatial distributed lag data fusion for estimating ambient air pollution ⋮ Complete spatial model calibration ⋮ Statistical downscaling with spatial misalignment: application to wildland fire \(\mathrm{PM}_{2.5}\) concentration forecasting

Cites Work

• Estimating the health impact of climate change with calibrated climate model output
• A bivariate space-time downscaler under space and time misalignment
• A spatio-temporal downscaler for output from numerical models
• Calibration of numerical model output using nonparametric spatial density functions
• Extreme value analysis for evaluating ozone control strategies
• Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
• Bayesian geostatistical modelling with informative sampling locations
• Model-Based Geostatistics
• On the change of support problem for spatio-temporal data
• Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis
• Spectral methods for nonstationary spatial processes
• Spatial Statistical Data Fusion for Remote Sensing Applications
• Space‐Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models

This page was built for publication: A spectral method for spatial downscaling