"To assist with the vetting and triage of insurance claims, BrightPlanet harvested all tweets within the Greater Toronto Area. BrightPlanet then filtered and curated the tweets down to only tweets discussing specific effects of the flooding. Any tweets containing a latitude and longitude were then mapped in a heat map format in Toronto to show where the most chatter was happening about the flooding."
See the full description on their page here: BrightPlanet. The harvesed image is here:
There are a lot of tweets downtown, mostly south of Bloor Street. Matthew Dance analyzed tweets about Toronto - not about flooding, and produced this cluster map:
Of course the extents are different, but I'd suggest that we see the same pattern in BrightPlanet "flood tweets" as we do for Matthew Dance's "generic Toronto tweets". Dance explains tweet density in a few ways:
- "The most densely Tweeted area is bounded by Bloor Street to the North and Lake Ontario to the South, connected by Young Street. There is a greater density along the Lake, away from Young to the West."
- Hot spots include the Eaton Center, Rogers Center and tourist and suburban destinations - the areas around Yonge and Bloor and Front Street, including the sports stadiums - "destinations for those interested in shopping or taking in the sights in Toronto."
- Areas that are strictly neighbourhoods (Hillsdale Avenue running east from Yonge) have low density.
- Poorer neighbourhoods like Regent Park have few tweets (between Dundas and Gerrard west of the Don Valley)