Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area
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Carbon dioxide (CO2) is a key driver of anthropogenic climate change and cities have been identified as major sources of emissions. Urbanization and land use change are associated with rising urban CO2 emissions, highlighting the need to study spatiotemporal t... ...
