Welcome to the future—Models, maps, and Flow.
Imagine if you could see the air, mapped out in front of you, street by street, neighborhood by neighborhood. You could map your way to work based on the freshest air or compare pollution levels at playgrounds before you leave the house. This has been our collective dream since the beginning—and the dream is now a reality in Paris and London, and it’s spreading fast!
Read on to learn more about our street by street, hour by hour pollution maps.
How we create street by street map models
The all-new street by street maps of London and Paris in your Flow app are built with our most advanced machine learning models (not from Flow data—at least not yet). We think you’ll agree they’re a huge leap forward in terms of getting the info you need to keep pollution out of your lungs. We’ll be adding new cities in the coming weeks. In the meantime zoom-in, explore, and discover new ways of looking at the world.
So what’s the big difference between the street by street maps and our free app Plume Air Report? These maps give you air quality information right down to street-level, while Plume Air Report gives you an average air pollution level for the whole city.
Step 1. Street by street pollution modeling
Timeline: Available now in select cities (more coming soon)
Street by street pollution modeling is the foundation layer for creating the ‘Waze’ of air pollution—a hyper-local, community-powered map of the air in your life.
We build each model using a variety of data sets: government monitoring stations, weather, traffic, population density, land-use, and more. We take all this information and put it through our machine learning system to ‘fill-in the gaps’ where there are no actual monitoring stations.
Step 2: The ‘Waze’ of pollution mapping
Timeline: Fall 2019 for select cities
Soon there will be so many Flow community members helping track pollution we’ll be able to create maps in many more cities. Privacy is number one when it comes to community data so we remove any information that could be considered personal and then aggregate all the data before it gets added to the system. This way everyone with a Flow can help improve the maps with collections of crowdsourced, anonymized air quality info.
So how can I help speed things up I hear you say? Using your Flow regularly adds a ton of data to the system. The more you use your Flow, the more data points we have, and the faster we can make more and better maps. You can also help by recommending Flow to your friends to increase the number of active sensors
We’re even working on creating a referral program and we’d love to hear from you if you have any ideas.
Step 3: Community driven pollution tracking
Timeline: Fall/Winter 2019
The community has been seriously busy working to make change and hunting down pollution sources since we released Flow. But don’t take our word for it, check out both Aurelie and Caitlin’s incredible work.
We’re preparing to launch the first part of our community platform—focused on data analysis, visualisation, and citizen science. A huge thank you to all who have asked us to create a home for your discussions. We’ll also be reaching out for help bringing together real-time, community related features, both in the app and out. Keep an eye out for upcoming PlumeLetters with more info.
These are such great news!
One clarification if possible: it is not so clear to me if the Flow data is being used in the 2 maps yet.
– Beginning if of the post: ‘built with our most advanced machine learning models (not from Flow data—at least not yet)’
– Step 2 of the post explains how flow data is/will be used? On this part it seems like the Flow data is already been taken into account in the 2 current cities London and Paris.
[…] In the blog post detailing what these are and how they work, we also mentioned more were coming your way soon. Well, coming your way they are! […]