Sentence examples for land use regression from inspiring English sources

Land Use Regression models (LUR) are useful to estimate the spatial variability of air pollution in urban areas.

Land use regression (LUR) has emerged as an effective means of estimating exposure to air pollution in epidemiological studies.

Land use regression modeling.

We used a land use regression (LUR) model to estimate annual NO2 concentrations for each residence.

Supervised forward selection was used to construct the land use regression model.

We estimated residence-specific BC and PM2.5 exposures using validated spatiotemporal land use regression models.

Land-use regression (LUR) and universal kriging (UK) have been suggested as potential prediction methods.

Land-use regression (LUR) models are increasingly used to estimate exposure to air pollution in urban areas.

Land-use regression models can improve exposure assessment for TRAP.

The exposure model was a stochastic (land-use regression) model with a temporal component.

Annual average PM2.5 mass concentrations at residential addresses were estimated by land-use regression.