Some days are just better.

It is rewarding to see an analysis go brrrrrrrr after spending a lot of time trying to solve some problems in my pipeline, automating many steps, figuring out how #r5r and #r5py work, and circumventing some hard-coded problems of R5.

I am wondering if the generation of an #isochrone is slower or faster compared to generating a grid-based travel-time matrix with #R5R or #R5py.

Both would get me the result I want in slightly different ways. I need to calculate the travel times to all somewhat major border crossing points in Europe. Calculating 30, 60 and 90 minute isochrones (private car) for Finland's 12 over-land points is taking over an hour in R5R, which is not optimal given that there are 1800+ points across Europe.

"R⁵py is a #Python library for rapid realistic routing on multimodal transport networks (walk, bike, public transport, and car). It provides a simple and friendly interface to R⁵, the Rapid Realistic Routing on Real-world and Reimagined networks, a routing engine developed by Conveyal. #r5py is inspired by r5r, a wrapper for R, and it is designed to interact with #GeoPandas #GeoDataFrames."

https://r5py.readthedocs.io/en/stable/index.html

via @waeiski