Mobile-monitoring or "sensors on a mobile platform", is an increasingly
popular approach to measure high-resolution pollution data at the street level.
Coupled with location data, spatial visualisation of air-quality parameters
helps detect localized areas of high air-pollution, also called hotspots.
In this approach, portable sensors are mounted on a vehicle and driven on
predetermined routes to collect high frequency data (1 Hz).
'mmaqshiny' is for analysing, visualising and spatial mapping of
high-resolution air-quality data collected by specific devices installed on
a moving platform. 1 Hz data of PM2.5 (mass concentrations of particulate
matter with size less than 2.5 microns), Black carbon mass concentrations
(BC), ultra-fine particle number concentrations, carbon dioxide along with
GPS coordinates and relative humidity (RH) data collected by popular
portable instruments (TSI DustTrak-8530, Aethlabs microAeth-AE51, TSI CPC3007,
LICOR Li-830, Garmin GPSMAP 64s, Omega USB RH probe respectively). It
incorporates device specific cleaning and correction algorithms. RH correction
is applied to DustTrak PM2.5 following the Chakrabarti et al., (2004)