Air pollution affects billions of people worldwide, yet ambient pollution measurements are
limited for much of the world. Urban air pollution concentrations vary sharply over short …

Air pollution measurements collected through systematic mobile monitoring campaigns can
provide outdoor concentration data at high spatial resolution. We explore approaches to …

Spatially explicit urban air quality information is important for developing effective air quality
control measures. Traditionally, urban air quality is measured by networks of stationary …

Diverse urban air pollution sources contribute to spatially variable atmospheric
concentrations, with important public health implications. Mobile monitoring shows promise …

Disparity in air pollution exposure arises from variation at multiple spatial scales: along
urban-to-rural gradients, between individual cities within a metropolitan region, within …

Urban air pollution is quite complex and exhibits significant spatial variability within
communities. Traditional centralized monitoring captures temporal variability as well as the …

Metropolitan air pollution is a growing concern in both developing and developed countries.
Fixed-station monitors, typically operated by governments, offer accurate but sparse data …

The development of low-cost sensors and novel calibration algorithms provides new hints to
complement conventional ground-based observation sites to evaluate the spatial and …

Urban environments with a high degree of industrialization are infested with hazardous
chemicals and airborne pollutants. These pollutants can have devastating effects on human …

Land-use regression (LUR) models are frequently applied to estimate spatial patterns of air
pollution. Traditional LUR often relies on fixed-site measurements and GIS-derived variables …