Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. Lin, Y, Pan, F, Chiang, Y., Stripelis, D, Ambite, J L, Eckel, S P, & Habre, R In 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), Redondo Beach, CA, USA, November, 2017.
bibtex   
@inproceedings{lin_mining_2017,
	address = {Redondo Beach, CA, USA},
	title = {Mining {Public} {Datasets} for {Modeling} {Intra}-{City} {PM2}.5 {Concentrations} at a {Fine} {Spatial} {Resolution}},
	booktitle = {25th {ACM} {SIGSPATIAL} {International} {Conference} on {Advances} in {Geographic} {Information} {Systems} ({ACM} {SIGSPATIAL} 2017)},
	author = {Lin, Y and Pan, F and Chiang, Y-Y and Stripelis, D and Ambite, J L and Eckel, S P and Habre, R},
	month = nov,
	year = {2017},
}

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