Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters
Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters is a paper indexed in PICO Portal from OpenAlex.
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Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters has 111 citations in the OpenAlex counts PICO Portal stores.
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Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters has 2018 year in the PICO Portal index.
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Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters has green oa status in the PICO Portal index.
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