Using Googleway and Leaflet to visualise predicted travel time differences
Hosted by Melbourne Users of R Network (MelbURN)
Details
Another great talk lined up for R users! If you're into maps, visualizations and prediction being used in the real world, then you don't want to miss this talk.
This will be an on-line meetup, see Zoom details below.
Talk info:
Using Googleway and Leaflet to visualise predicted travel time differences between transport modes
Belinda will talk about a proof of concept map she developed in R to illustrate transport mode choices by area in Melbourne.
If you could drive to work in 10 minutes, but it would take you 40 minutes by public transport, which would you choose?
Belinda wanted to illustrate the data behind a choice which people make every day: the choice between driving and taking public transport. This talk will cover calculating a set of journey origin points, querying and manipulating travel time predictions from these points using the Googleway package (a Google Maps API wrapper) and mapping the output using Leaflet.
Belinda has previously presented to R-Ladies Melbourne on her Leaflet public transport network visualisation work at PTV: https://www.meetup.com/rladies-melbourne/events/247262918/ http://about.me/minga
Bio:
Belinda Maher started her journey in transport data a decade ago at KiwiRail, where she worked on a $2 billion NZD upgrade of Auckland's suburban train network. After returning home to Melbourne, she took up a role at Public Transport Victoria in Operational Performance Analysis.
She now works in Network Planning at the Department of Transport (DoT) where she is involved in data-driven planning and data visualisation (including mapping).
At DoT, Belinda has worked on projects including analysing observed tram speeds across the network for on-road priority planning, and also on collating and mapping data about current and future train stations for strategic planning.
Zoom details:
Join online via this link:
https://us02web.zoom.us/j/82573116109
Meeting ID: 825 7311 6109
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Meeting ID: 825 7311 6109
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