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Predicting Within-City Variations in Ultrafine Particle and Black Carbon Concentrations in Bucaramanga, Columbia Using Open Source Data and Images
Author(s) -
Marshall Lloyd,
Ellison Carter,
Florencio Guzman Diaz,
Kento T. Magara-Gomez,
Kris Y. Hong,
Jill Baumgartner,
M G Victor Herrera,
Scott Weichenthal
Publication year - 2021
Publication title -
environmental health perspectives. supplements
Language(s) - English
Resource type - Journals
eISSN - 2169-2181
pISSN - 1078-0475
DOI - 10.1289/isee.2021.o-to-129
Subject(s) - geospatial analysis , environmental science , convolutional neural network , air pollution , predictive modelling , computer science , regression analysis , ultrafine particle , cartography , meteorology , geography , artificial intelligence , machine learning , chemistry , organic chemistry , materials science , nanotechnology

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