Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. Lin, Y., Chiang, Y., Pan, F., Stripelis, D., Ambite, J. L., Eckel, S. P, & Habre, R. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, volume 8, pages 1–10, New York, NY, USA, November, 2017. ACM.
Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution [link]Paper  Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution [pdf]-file  doi  bibtex   5 downloads  

Downloads: 5