The phrase "average of monitors" is correct and usable in written English.
It can be used when discussing the mean value or performance metrics derived from multiple monitors, such as in a technical or analytical context.
Example: "To determine the overall performance, we calculated the average of monitors used in the study."
Alternatives: "mean of displays" or "average of screens".
City = average of monitors within the city; Near = nearest monitor concentration; LUR = land use regression; Disp = dispersion modeling; Inter = interpolation.
A monitor or an average of monitors is often used to characterize exposure for a county, or a given distance from the home address using geospatial coding.
However, these monitors are included in the interpolation process, so the ozone levels assigned to a population in a given county will, in most cases, reflect an average of monitors with ozone reductions and those with no reduction.
A California study found that various air pollution metrics (county-wide average, nearest monitor, distance-weighted average of monitors < 5 miles of mother's residence) produced different effect estimates for the relationship between air pollution and birth weight (Basu et al. 2004).
Population exposure is usually calculated as the average of monitored particulate matter in a large area subsequently adjusted for population density.
Similar to PM2.5, days with data from a single NO2 monitor were adjusted based on the relationship between that monitor to the average of both monitors (additional detail is provided in Additional file 1).
Exposure is typically assumed to be the same for all subjects living within a given distance from a single pollution monitor or an average of multiple monitors within the area [ 1, 11].
For the six constituents investigated in the present study, the average correlation of monitors in close proximity (< 5 km) ranges from 0.60 to 0.93 and for larger distances (20 50 km) ranges from 0.46 to 0.88 (Bell et al. 2011).
If multiple monitors were available in a city, we used the average of all monitors.
Many of the cities have more than one monitoring location, and we computed local daily mean pollution concentrations as the average of all monitors in the city.
Individuals were assigned exposure values equal to the weighted average of all monitors in their county of residence and adjoining counties, with weights proportional to the inverse of the square of the distance between their residence and the monitor.
