The vast majority were created before 2020 - and the ones since are almost all outside of the downtown
In most cases, they indicate failure.
Either a street's design is calm enough for mixed road users without reminder, or vulnerable users need protection
The vast majority were created before 2020 - and the ones since are almost all outside of the downtown
In most cases, they indicate failure.
Either a street's design is calm enough for mixed road users without reminder, or vulnerable users need protection
Called the Geospatial Fact Finder (or Geoff, for short), it turns natural language, like "Which bike lanes are not sharrows?" into spatial results to help planners, activists, & more.
I'm curious: What would you ask Geoff?
#geospatial #urbanplanning
Called the Geospatial Fact Finder (or Geoff, for short), it turns natural language, like "Which bike lanes are not sharrows?" into spatial results to help planners, activists, & more.
I'm curious: What would you ask Geoff?
#geospatial #urbanplanning
If you need to go north/south downtown, use Huron St.
Its got alternating one ways so there are rarely cars. It has lights at major intersections, connects to lanes on Peter St and goes to Bloor
Feels much safer/ more comfy than the official route one block over on Beverly
If you need to go north/south downtown, use Huron St.
Its got alternating one ways so there are rarely cars. It has lights at major intersections, connects to lanes on Peter St and goes to Bloor
Feels much safer/ more comfy than the official route one block over on Beverly
He’s won all the political points he can on this issue. No suburban voters care enough to check.
Why waste more time and money besides pettiness?
He’s won all the political points he can on this issue. No suburban voters care enough to check.
Why waste more time and money besides pettiness?
I've been training an ML model to make maps automatically based on aerial imagery
Here's the best result so far -
#geospatial #ai
I've been training an ML model to make maps automatically based on aerial imagery
Here's the best result so far -
#geospatial #ai
The 81% of people in Yonge-Bay who commute outside every day have different needs than the 17% in Princess-Rosethorn
They have different vulnerabilities to heat, snow, rain, ice, etc
The 81% of people in Yonge-Bay who commute outside every day have different needs than the 17% in Princess-Rosethorn
They have different vulnerabilities to heat, snow, rain, ice, etc
But some neighbourhoods get hotter than others due to the Urban Heat Island Effect.
How hot is your neighbourhood?
Full story: storymaps.com/stories/ac36...
#geospatial #toronto
But some neighbourhoods get hotter than others due to the Urban Heat Island Effect.
How hot is your neighbourhood?
Full story: storymaps.com/stories/ac36...
#geospatial #toronto
More than 9,000 bike share trips used these lanes each day in 2024. More than 3,000 trips just during rush hour.
Full report: storymaps.com/stories/977d...
#BikeTO #Bill212
More than 9,000 bike share trips used these lanes each day in 2024. More than 3,000 trips just during rush hour.
Full report: storymaps.com/stories/977d...
#BikeTO #Bill212
Including a bike share trip heatmap made with PyQGIS
Data from Toronto Open Data and OSM. Maps made in QGIS
#Toronto
Including a bike share trip heatmap made with PyQGIS
Data from Toronto Open Data and OSM. Maps made in QGIS
#Toronto
I am a product manager and computer engineer by background, currently trying to apply those skills while learning foundational geospatial analysis. Cheers!
I am a product manager and computer engineer by background, currently trying to apply those skills while learning foundational geospatial analysis. Cheers!