Why does data resolution matter when it comes to air pollution? Because every city has its own air quality traits. But one thing common to all places is that pollution levels and characteristics change: several times a day, and from street to street.
Why does this happen? Because air pollution is governed by a complex flow of dynamics like traffic, human behavior, and atmospheric conditions.
The consequences? Pollution where you are right now - the pollutants and their concentration was probably very different a few hours ago. The air (quality) two blocks away from where you are right now is different than the air you’re currently breathing.
Therefore, data resolution matters.
About Data Resolution
Personalized, relevant, and location-based data is becoming a standard across any website and app. Consumers around the world have little to no tolerance for inaccurate data, especially when it comes to information that impacts health, such as air quality.
Providing air quality data from distant air quality monitoring stations or inaccurate sensors can lead to a poor user experience: In nearly all instances, this data will not be accurate due to the atmospheric circulation and the dynamics of air pollution. The data will also tend to be monotonous and mostly constant, meaning it will show the same value for large areas.
This approach can be dangerous, too, leading people to take actions endangering their health.
On the other side, having reliable, dynamic, and location-based data increases engagement, user retention, and overall satisfaction. More on the subject here.
Can you really afford to provide inaccurate, irrelevant data to your customers?
Data Resolution, a Serious Concern @BreezoMeter
While the vast majority of air quality data available today can only provide air quality information from the nearest monitoring station available (often miles away), or from (problematic) low-cost sensors, BreezoMeter has developed dispersion models, based on years of academic and internal research, in order to provide accurate, street-level, and real-time data about the air quality around us. This fact makes all the difference when it comes to really knowing what’s in air around you - data resolution equals relevancy to the consumer.
Today, in more than 67 countries, BreezoMeter's platform calculates the concentrations of 17 different pollutant types together with the equivalent Air Quality Index (AQI) standard, every hour, and overlays the AQI result on a two- dimensional grid. The distance between two BreezoMeter calculated grid points, in latitude and longitude, is roughly 0.005 degrees, which is approximately 500 meters at the equator. When traveling to the north or south from the equator, the distance between the two grid points will decrease.
When querying BreezoMeter’s API, we ask you to send lat/long or an address, and then our API returns the information from the nearest grid point to the queried location. Let’s look at our data in Paris as an example (see video below): The distance between any queried location to its closest calculated grid point must be smaller than 299 (the length of the diagonal) meters. Subsequently, when walking in the beautiful city of Paris you will receive accurate air pollution data approximately every 273 meters. As a comparison, in NYC it will be every 288m and in London every 268m.
3 More Things to Know When Buying Air Quality Data
- Consistency. If you plan to use air pollution data in your apps, products, marketing campaigns, or website, you want your data to be available continuously.
- Accuracy. Linked in part to data resolution, accuracy will mean relevancy for your users and consumers.
- Expertise. BreezoMeter is the first company to offer air quality data for business. The expertise and knowledge acquired working with the world’s largest and most innovative brands - our early adopters - have been translated into top-notch customer success that ensures our data helps reach your goals.
Having reliable, dynamic, and location-based data increases engagement, user retention, and overall satisfaction from a product. More on the subject here.