Using the Map

MyAir’s main page, the location tab, is your one-stop shop for your fleet of air quality devices.

Below is an explanation of what you can find here.

The inventory sidebar is a list of all the devices, such as Zephyrs, on your account. Clicking on a device takes you to the location of it on the map, and clicking on the three dots next to the device gives you some detailed options, like changing the nickname of the device.

In the bottom right of each device is a tiny field labelled ID - this is what we call the “Z-number” of a Zephyr, and is the unique code we use to identify each sensor.

The map is an interactive geographical view of your devices. Each device is represented by a shape coloured according to pollution levels averaged over the last full hour of available data. MyAir supports a range of useful colourscales to help you visualise your data in the way you want to. You can switch colourscales and target pollutants with the dropdown at the top of the map.

Selecting a device on the map or on the inventory sidebar updates the data overview on the right-hand side of the map screen - this is near-real time view of the average of measurements from the last full hour of monitoring.

The layers button in the bottom left of the MyAir map is unsuspecting but powerful. This is your window to access EarthSense’s advanced air quality modelling suite. The layers button gives you the ability to change the background map between satellite and road map, but most importantly it also gives access to a plethora of add-ons, including…

Tap into EarthSense’s advanced, near real-time modelled air quality data. The MappAir UK model produces a map of the UK each hour at 100m resolution, using the latest weather, traffic, and satellite data. Users outside the UK will instead gain access to our 4000m resolution global model.

See a colour-scaled image overlaid across your sensor network and click a point for more information about that location.

Our annually-averaged version of MappAir UK uses an advanced land use regression (LUR) model to accurately estimate average pollution over a year. This is an especially useful feature to view historic trends.

Overlays seamlessly provide context to your data, allowing you to assess whether pollution hotspots are occurring surrouding key areas of interest. This includes areas with sensitive populations such as schools as well as regions relating to policy such as smoke control zones and air quality management areas. These features are currently specific to the UK.