https://vegfrreceptor.com/inde....x.php/the-particular
Land-use regression (LUR) designs are often used to estimate spatial patterns of polluting of the environment. Traditional LUR frequently hinges on fixed-site dimensions and GIS-derived factors with restricted spatial quality. We present an approach that leverages Google Street see (GSV) imagery to anticipate street-level particulate environment air pollution (i.e., black carbon [BC] and particl
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