Reference health
Estimation of Anisotropic, Time‐Varying Spatial Spillovers of Fine Particulate Matter Due to Wind Direction
42/42 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
2 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 42 checked references that resolve
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Dynamic Spatial Autoregressive Models with Time-Varying Spatial Weighting Matrices
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Apheis: Health Impact Assessment of Long-term Exposure to PM2.5 in 23 European Cities
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Sensitivity of PM
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Temporal, spatial and meteorological variations in hourly PM2.5 concentration extremes in New York City
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On model specification and parameter space definitions in higher order spatial econometric models
resolves10.1002/env.1123
Maximum likelihood estimation of the dynamic coregionalization model with heterotopic data
resolves10.1007/s13253-016-0260-7
European Population Exposure to Airborne Pollutants Based on a Multivariate Spatio-Temporal Model
resolves10.18637/jss.v062.i06
<b>D-STEM</b>: A Software for the Analysis and Mapping of Environmental Space-Time Variables
resolves10.1111/rssc.12001
A Model-Based Framework for Air Quality Indices and Population Risk Evaluation, with an Application to the Analysis of Scottish Air Quality Data
resolves10.1016/S1352-2310(01)00381-8
Characterization of atmospheric trace elements on PM2.5 particulate matter over the New York–New Jersey harbor estuary
resolves10.1080/10473289.2006.10464559
Effects of Wind Direction on Coarse and Fine Particulate Matter Concentrations in Southeast Kansas
resolves10.1111/j.1540-5907.2010.00447.x
What to Do about Missing Values in Time‐Series Cross‐Section Data
resolves10.1002/env.2537
Real‐time PM<sub>2.5</sub> mapping and anomaly detection from AirBoxes in Taiwan
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A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
resolves10.1023/A:1007707430416
A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances
resolves10.1111/1468-2354.00027
A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model
resolves10.1016/S0304-4076(03)00133-7
Estimation of simultaneous systems of spatially interrelated cross sectional equations
resolves10.1016/j.jeconom.2009.10.025
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
resolves10.1111/j.1468-0262.2004.00558.x
Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models
resolves10.1080/17421772.2011.647057
QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices
resolves10.52324/001c.8141
Pitfalls in Higher Order Model Extensions of Basic Spatial Regression Methodology
resolves10.1214/18-AOAS1212
A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles
resolves10.1016/j.trb.2010.01.004
A spatial dynamic panel model with random effects applied to commuting times
resolves10.1016/j.csda.2010.05.016
A space–time filter for panel data models containing random effects
resolves10.1080/10473289.2006.10464485
Health Effects of Fine Particulate Air Pollution: Lines that Connect
resolves10.1080/01621459.2015.1072541
Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere
resolves10.1016/j.jeconom.2016.11.004
QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices
resolves10.1002/asl.117
Association between PM<sub>10</sub> mass concentration and wind direction in London
resolves10.1111/j.1435-5957.2008.00213.x
Specification of spatial models: A simulation study on weights matrices
resolves10.1016/j.atmosenv.2010.06.060
Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change
resolves10.1016/1352-2310(94)90208-9
Chesapeake bay atmospheric deposition study, year 1: Sources and dry deposition of selected elements in aerosol particles
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Source identification and potential ecological risk assessment of heavy metals in PM2.5 from Changsha
The 2 references without a DOI — listed, not checked
no DOI — not checkedCameletti M.(2015).Stem: Spatio‐temporal EM. R package version 1.0.https://cran.r-project.org/web/packages/Stem/Stem.pdf
no DOI — not checkedHeaton M. J. A.Datta A.Finley R.Furrer R.Guhaniyogi F.Gerber R. B.Gramacy D.Hammerling M.Katzfuss F.Lindgren et al. (2017). “Methods for Analyzing Large Spatial Data: A Review and Comparison.” arXiv preprint arXiv:1710.05013.
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