@inproceedings{Lin2017-go,
  address = {New York, NY, USA},
  author = {Lin, Yijun and Chiang, Yao-Yi and Pan, Fan and Stripelis,
Dimitrios and Ambite, Jose Luis and Eckel, Sandrah P and Habre,
Rima},
  booktitle = {{Proceedings of the 25th ACM SIGSPATIAL International Conference
on Advances in Geographic Information Systems}},
  conference = {SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on
Advances in Geographic Information Systems},
  doi = {10.1145/3139958.3140013},
  isbn = {9781450354905},
  language = {en},
  location = {Redondo Beach CA USA},
  month = {November},
  pages = {1--10},
  pmc = {PMC5841919},
  pmid = {29527599},
  publisher = {ACM},
  title = {{Mining Public Datasets for Modeling Intra-City PM2.5
Concentrations at a Fine Spatial Resolution}},
  url = {https://dl.acm.org/doi/10.1145/3139958.3140013},
  url-file = {papers/Lin-et-al.-2017-Mining-Public-Datasets-for-Modeling-Intra-City-PM2.5-Concentrations-at-a-Fine-Spatial-Resolution.pdf},
  volume = {8},
  year = {2017}
}

{"_id":"KLuMPPTrkBkg4ucbq","bibbaseid":"lin-chiang-pan-stripelis-ambite-eckel-habre-miningpublicdatasetsformodelingintracitypm25concentrationsatafinespatialresolution-2017","authorIDs":[],"author_short":["Lin, Y.","Chiang, Y.","Pan, F.","Stripelis, D.","Ambite, J. L.","Eckel, S. P","Habre, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"New York, NY, USA","author":[{"propositions":[],"lastnames":["Lin"],"firstnames":["Yijun"],"suffixes":[]},{"propositions":[],"lastnames":["Chiang"],"firstnames":["Yao-Yi"],"suffixes":[]},{"propositions":[],"lastnames":["Pan"],"firstnames":["Fan"],"suffixes":[]},{"propositions":[],"lastnames":["Stripelis"],"firstnames":["Dimitrios"],"suffixes":[]},{"propositions":[],"lastnames":["Ambite"],"firstnames":["Jose","Luis"],"suffixes":[]},{"propositions":[],"lastnames":["Eckel"],"firstnames":["Sandrah","P"],"suffixes":[]},{"propositions":[],"lastnames":["Habre"],"firstnames":["Rima"],"suffixes":[]}],"booktitle":"Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","conference":"SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","doi":"10.1145/3139958.3140013","isbn":"9781450354905","language":"en","location":"Redondo Beach CA USA","month":"November","pages":"1–10","pmc":"PMC5841919","pmid":"29527599","publisher":"ACM","title":"Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution","url":"https://dl.acm.org/doi/10.1145/3139958.3140013","url-file":"papers/Lin-et-al.-2017-Mining-Public-Datasets-for-Modeling-Intra-City-PM2.5-Concentrations-at-a-Fine-Spatial-Resolution.pdf","volume":"8","year":"2017","bibtex":"@inproceedings{Lin2017-go,\n address = {New York, NY, USA},\n author = {Lin, Yijun and Chiang, Yao-Yi and Pan, Fan and Stripelis,\nDimitrios and Ambite, Jose Luis and Eckel, Sandrah P and Habre,\nRima},\n booktitle = {{Proceedings of the 25th ACM SIGSPATIAL International Conference\non Advances in Geographic Information Systems}},\n conference = {SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on\nAdvances in Geographic Information Systems},\n doi = {10.1145/3139958.3140013},\n isbn = {9781450354905},\n language = {en},\n location = {Redondo Beach CA USA},\n month = {November},\n pages = {1--10},\n pmc = {PMC5841919},\n pmid = {29527599},\n publisher = {ACM},\n title = {{Mining Public Datasets for Modeling Intra-City PM2.5\nConcentrations at a Fine Spatial Resolution}},\n url = {https://dl.acm.org/doi/10.1145/3139958.3140013},\n url-file = {papers/Lin-et-al.-2017-Mining-Public-Datasets-for-Modeling-Intra-City-PM2.5-Concentrations-at-a-Fine-Spatial-Resolution.pdf},\n volume = {8},\n year = {2017}\n}\n\n","author_short":["Lin, Y.","Chiang, Y.","Pan, F.","Stripelis, D.","Ambite, J. L.","Eckel, S. P","Habre, R."],"key":"Lin2017-go","id":"Lin2017-go","bibbaseid":"lin-chiang-pan-stripelis-ambite-eckel-habre-miningpublicdatasetsformodelingintracitypm25concentrationsatafinespatialresolution-2017","role":"author","urls":{"Paper":"https://dl.acm.org/doi/10.1145/3139958.3140013","-file":"http://knowledge-computing.github.io/papers/Lin-et-al.-2017-Mining-Public-Datasets-for-Modeling-Intra-City-PM2.5-Concentrations-at-a-Fine-Spatial-Resolution.pdf"},"metadata":{"authorlinks":{}},"downloads":5},"bibtype":"inproceedings","biburl":"http://knowledge-computing.github.io/publications.bib","creationDate":"2020-12-05T05:31:07.770Z","downloads":5,"keywords":[],"search_terms":["mining","public","datasets","modeling","intra","city","pm2","concentrations","fine","spatial","resolution","lin","chiang","pan","stripelis","ambite","eckel","habre"],"title":"Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution","year":2017,"dataSources":["HAFwXuLZf7sqJvp2S","3sPtWLmmdPRfH69LS","8u7qceCaxL8Gt5PoF"]}