Multivariate spatial-temporal modeling and prediction of speciated fine particles

Journal of Statistical Theory and Practice

Volumn 3, Issue 2, 2009, Pages 407-418

  Choi, Jungsoon ^a   Reich, Brian J ^a   Fuentes, Montserrat ^a   Davis, Jerry M ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Air pollution; Bayesian inference; Linear coregionalization model; Multivariate spa38 tiotemporal processes; Speciated particulate matter

Indexed keywords

EID: 85008776603     PISSN: 15598608     EISSN: 15598616     Source Type: Journal    
DOI: 10.1080/15598608.2009.10411933     Document Type: Article

References (18)

1. Baumgardner, R.E., Isil, S.S., Bowser, J.J., Fitzgerald, K.M., 1999. Measurements of rural sulfur dioxide and particle sulfate: Analysis of CASTNet data, 1987 through 1996, Journal of Air Waste Management Association, 49, 1266–1279.
2. Flanagan, J.B., Peterson, M.R., Jayanty, R.K.M., Rickman, E.E., 2003. Analysis of Speciation Network Carbon Blank Data, RTP, NC: RTI International.
3. Frank, N.H., 2006. Retained nitrate, hydrated sulfates, and carbonaceous mass in federal reference method fine particulate matter for six eastern U.S. cities, Journal of Air Waste Management Association, 56, 500–511.
4. Fuentes, M., Song, H., Ghosh, S.K., Holland, D.M., Davis, J.M., 2006. Spatial association between speciated fine particles and mortality, Biometrics, 62, 855–863.
5. Gelfand, A.E., Smith, A.F.M., 1990. Sampling-based approaches to calculating marginal densities, Journal of the American Statistical Association, 85, 398–409.
6. Gelfand, A.E., Banerjee, S., Gamerman, D., 2005. Spatial process modelling for univariate and multivariate dynamic spatial data, Environmetrics, 16, 465–479.
7. Grzebyk, M., Wackernagel, H., 1994. Multivariate analysis and spatial/temporal scales: real and complex models, in Proceedings of the XVIIth International Biometrics Conference, pp. 19–33.
8. Malm, W.C., Schichtel, B.A., Ames, R.B., Gebhart, K.A., 2002. A 10-year spatial and temporal trend of sulfate across the United States, Journal of Geophysical Research, 107, D224627, doi:10.1029/2002JD002107.
9. Malm, W.C., Schichtel, B.A., Pitchford, M.L., Ashbaugh, L.L., Eldred, R.A., 2004. Spatial and monthly trends in speciated fine particle concentration in the United States, Journal of Geophysical Research, 109, D03306, doi:10.1029/2003JD003739.
10. McFadden, D., 1974. Conditional logit analysis of qualitative choice behavior, in Frontiers of Econometrics, P. Zarembka (editor), New York: Academic Press, pp.105-142.
11. Özkaynak, H., Thurston, G.D., 1987. Associations between 1980 U.S. mortality rates and alternative measures of airborne particle concentration, Risk Analysis, 7, 449–461.
12. Rao, V., Frank, N., Rush, A., Dimmick, F., 2003. Chemical speciation of PM2:5 in urban and rural areas, National Air Quality and Emissions Trends Report, pp. 13–23.
13. Spiegelhalter, D.J., Best, N.G., Carlin, B.P., van der Linde, A., 2002. Bayesian measures of model complexity and fit (with discussion), Journal of the Royal Statistical Society B, 64, 583–639.
14. U.S. Environmental Protection Agency, 1997. National Ambient Air Quality Standards for Particulate Matter; Final Rule, Part II, Federal Register, 40, CFR Part 50. U.S. Environmental Protection Agency, 2000.
15. Quality assurance guidance document, quality assurance project plan: PM2:5 speciation trends network field sampling, EPA 454/R-01-001, RTP, NC, Available at: http://www.epa.gov/ttn/amtic/files/ambient/pm25/spec/1025sqap.pdf.
16. U.S. Environmental Protection Agency, 2003. National air quality and emissions trends report, 2003, special studies edition, EPA 454/R-03-005, RTP, NC, Available at: http://www.epa.gov/air/airtrends/ aqtrnd03/
17. Wackernagel, H., 1998. Multivariate Geostatistics–An Introduction with Applications, 2nd edition, New York: Springer-Verlag.
18. Wikle, C.K., Milliff, R.F., Nychka, D., Berliner, M., 2001. Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds, Journal of the American Statistical Association, 95, 1076–1987.