A distance-decay variable selection strategy for land use regression modeling of ambient air pollution exposures.
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Nitrate variability in groundwater of North Carolina using monitoring and private well data modelsA new method for estimating carbon dioxide emissions from transportation at fine spatial scalesComputation of geographic variables for air pollution prediction models in South KoreaIntegrating address geocoding, land use regression, and spatiotemporal geostatistical estimation for groundwater tetrachloroethyleneExposure to Greenness and Mortality in a Nationwide Prospective Cohort Study of Women.Characterizing spatial patterns of airborne coarse particulate (PM10-2.5) mass and chemical components in three cities: the multi-ethnic study of atherosclerosis.Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors.Green space and mortality following ischemic strokeAn online tool for obesity intervention and public health.Association of long-term PM2.5 exposure with mortality using different air pollution exposure models: impacts in rural and urban California.Use of generalized additive models and cokriging of spatial residuals to improve land-use regression estimates of nitrogen oxides in Southern California.Predicting traffic-related air pollution in Los Angeles using a distance decay regression selection strategy.Air pollution modelling for birth cohorts: a time-space regression modelMeasurement error in two-stage analyses, with application to air pollution epidemiology.Can dispersion modeling of air pollution be improved by land-use regression? An example from Stockholm, Sweden.Intra-urban spatial variability in wintertime street-level concentrations of multiple combustion-related air pollutants: the New York City Community Air Survey (NYCCAS).A spatial multicriteria model for determining air pollution at sample locations.Spatio-temporal models to estimate daily concentrations of fine particulate matter in Montreal: Kriging with external drift and inverse distance-weighted approaches.Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches.Spatial modeling of residential woodsmoke across a non-urban upstate New York region
P2860
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P2860
A distance-decay variable selection strategy for land use regression modeling of ambient air pollution exposures.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
A distance-decay variable sele ...... bient air pollution exposures.
@en
A distance-decay variable sele ...... bient air pollution exposures.
@nl
type
label
A distance-decay variable sele ...... bient air pollution exposures.
@en
A distance-decay variable sele ...... bient air pollution exposures.
@nl
prefLabel
A distance-decay variable sele ...... bient air pollution exposures.
@en
A distance-decay variable sele ...... bient air pollution exposures.
@nl
P2093
P1476
A distance-decay variable sele ...... bient air pollution exposures.
@en
P2093
P304
P356
10.1016/J.SCITOTENV.2009.01.061
P577
2009-03-21T00:00:00Z