Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters. Son, Y., Osornio-Vargas, Á. R., O'Neill, M. S., Hystad, P., Texcalac-Sangrador, J. L., Ohman-Strickland, P., Meng, Q., & Schwander, S. Science of The Total Environment, 639:40–48, October, 2018.
Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters [link]Paper  doi  bibtex   
@article{son_land_2018,
	title = {Land use regression models to assess air pollution exposure in {Mexico} {City} using finer spatial and temporal input parameters},
	volume = {639},
	issn = {00489697},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0048969718317923},
	doi = {10.1016/j.scitotenv.2018.05.144},
	language = {en},
	urldate = {2023-06-15},
	journal = {Science of The Total Environment},
	author = {Son, Yeongkwon and Osornio-Vargas, Álvaro R. and O'Neill, Marie S. and Hystad, Perry and Texcalac-Sangrador, José L. and Ohman-Strickland, Pamela and Meng, Qingyu and Schwander, Stephan},
	month = oct,
	year = {2018},
	keywords = {NALCMS},
	pages = {40--48},
}

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