Mobile monitoring data classified by highways (main_road) and non-highways (non_main_roads) in eight settlements
df_mm_road_type.RdRaw data on spatial distribution of light absorbing carbon concentrations in four formal and four informal settlements, obtained by mobile monitoring. The highways and the non-highways are demarcated in this dataset.
Format
A tibble with 3540 rows and 25 variables:
- serial_number
serial number of the MA200 monitoring from which the data is collected
- session_id
session number of the MA200 monitor (each monitoring session is automatically given a number in the output file of MA200 monitoring data)
- date
date of monitoring
- time
time of monitoring
- lat
latitude of location of monitoring
- long
longitude of location of monitoring
- uv_bcc
concentration of black carbon at the UV (ultravoilet) wavelength channel in ng/m3
- blue_bcc
concentration of black carbon at the Blue wavelength channel in ng/m3
- ir_bcc
concentration of black carbon at the IR (infrared) wavelength channel in ng/m3
- uv_babs
absorption coefficient of black carbon at the UV (ultravoilet) wavelength channel
- blue_babs
absorption coefficient of black carbon at the Blue wavelength channel
- ir_babs
absorption coefficient of black carbon at the IR (infrared) wavelength channel
- date_time
date and time of monitoring
- day_type
type of day of monitoring - weekend or weeday
- id
id is a unique identifier given to every monitoring session and experiment given in the data structure
- date_start
starting date of the experiment
- date_end
end date of the experiment
- start_time
starting time of the experiment
- end_time
end time of the experiment
- exp_type
type of experiment
- settlement_id
settlement name at which the monitoring was conducted
- time_of_day
the days are divided into three types - morning, first half and second half
- type_of_settlement
type of settlement - formal or informal
- id_road_type
a unique id given to different roads sections
- type_of_road
roads are categorised as highways and non-highways