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 ScholarIQ 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 ScholarIQ 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 ScholarIQ 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 ScholarIQ index.
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