sausy-lab Goto Github PK
Name: SAUSy Lab
Type: Organization
Bio: Spatial Analysis of Urban Systems Lab at the University of Toronto
Location: Room 608 Sidney Smith Hall
Name: SAUSy Lab
Type: Organization
Bio: Spatial Analysis of Urban Systems Lab at the University of Toronto
Location: Room 608 Sidney Smith Hall
canada food environment map
code for computing, analyzing, and visualizing measures of transit accessibility in Canada
Code to deal with gps data from CFS
A Figure-Ground + Population Density Map of Toronto
Trip/activity delimiting tool for Itinerum travel survey app
touchscreen test of visual/cognitive routfinding speed/accuracy between two points on a map
synthetically disaggregate flows for flow matrix with disaggregated O's & D's plus OD costs
analysis and visualization of travel mode share in the Greater Toronto and Hamilton Area
computes number of unique transit trips available within walking distance of a point
Estimating distances and durations for origin-destination trips reported in travel surveys using OSRM and R5R
various scripts using OpenTripPlanner for transportation network analysis
scripts for batch routing analysis using OSRM
Collect real-time transit data and process it into a retroactive GTFS 'schedule' which can be used for routing/analysis
github pages for SAUSy Lab
This is the repository of the Scarborough survey, created by the Suburban Mobilities Cluster at UTSC.
interactive map for visualizing travel patterns from the StudentMoveTO survey
experiments examining the uncertainty stemming from spatial sampling during zone-based spatial analysis
some R for batch calculating and plotting migration indices
transit accessibility to food banks in Toronto prior to and during COVID-19
generating various measures of urban form, built environment, and walkability for the Toronto region
a few scripts for analyzing and visualizing travel-time cubes
scrapes TTC website for arrival times of vehicles at subway stations in realtime
A study on transit reliability and commuting patterns for UTSC
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.