{"id":242045,"date":"1970-01-01T00:00:00","date_gmt":"1970-01-01T08:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=242045"},"modified":"2016-08-16T09:26:27","modified_gmt":"2016-08-16T16:26:27","slug":"urban-air-video-clips","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/urban-air-video-clips\/","title":{"rendered":"Urban Air: Video Clips"},"content":{"rendered":"

[1] Inferring real-time and fine-grained air quality throughout a city using a diversity of datasets, such as meteorology, traffic and geographical data.<\/p>\n

The publication about this video can be found at https:\/\/www.microsoft.com\/en-us\/research\/publication\/u-air-when-urban-air-quality-inference-meets-big-data\/<\/p>\n

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