How to check Air Quality Index of your area on Google Maps –Launch Google Maps on your Android or iOS device –Pinpoint your current location using the target button, or search for another location of your choice –Once you’re at the area you want to choose, click on the ‘layers’ ...
It presents the views of Karin Tuxen-Bettman, program manager for the Earth Outreach group at Google, on the benefits of the air quality mapping technology for the community. It highlights that the data collected will be given to air pollution experts....
The cars, equipped with air quality sensors developed by Aclima, generated data to build street-level maps of pollution in Los Angeles, San Francisco, and Central Valley. Mashable Light Speed Want more out-of-this world tech, space and science stories?
The Google cars that collect maps and photograph city streets have also been collecting air -- and we could be seeing the results in more detailed maps very soon. John Blackstone has more.Jul 5, 2017 Facebook Email Around The Web
On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studiesSmartphone location dataAir pollution exposureSpace-time activityExposure misclassificationAppropriately characterizing spatiotemporal individual mobility is important in many ...
Air pollution levels are particularly high in lower-middle-income countries, where economies tend to rely more heavily on polluting industries and technologies. These findings are based on high-resolution air pollution and population maps with global coverage, as well as subnational poverty estimates ...
ve run into a section of town where air pollution levels are excessively high. Another app, drawing on this information and your own health data, suggests that the air quality levels might be triggering your asthma. With a couple of taps of the wrist, you reconfigure ...
Airpollution measurements collected through systematic mobile monitoringcampaigns can provide outdoor concentration data at high spatial resolution.We explore approaches to minimize data requirements for mapping acity's air quality using mobile monitors with "data-only"versus predictive modeling approaches. We...
Google Street View vehicles with a fast-response pollution measurement platform and repeatedly sampled every street in a 30-km2area of Oakland, CA, developing the largest urban air quality data set of its type. Resulting maps of annual daytime NO, NO2, and black carbon at 30 m-scale reveal...
The prediction of air pollution is of great importance in highly populated areas because it directly impacts both the management of the city’s economic activity and the health of its inhabitants. This work evaluates and predicts the Spatio-temporal behavior of air quality in Metropolitan Lima, Per...