#r5rgui has been on CRAN for a few days now! Your handy helper to quickly visually explore routes built by #rstats #r5r ( @UrbanDemog ), powered by #mapgl (https://walker-data.com/mapgl/). Learn more at https://www.ekotov.pro/r5rgui/
Pythonで爆速ルート検索!R5pyの構築とR5Rとの違いを紹介! - Qiita

はじめに 国土交通省からデータアナリストとして株式会社onerootsへ転職した小池と申します。 前回の記事では、Rを用いて大量の経路検索が高速に算出できる「R5R」についてご紹介しました。 今回はそのpython版である「R5py」の使い方や、「R5R」との実装機...

Qiita
#Accessibility modelers using #r5r #rstats, check this GUI for playing around with R5 network. If many people find it useful, I would get signal if I should invest any more free time into it. https://github.com/e-kotov/r5rgui (uses #mapgl by Kyle Walker (https://walker-data.com/) and #r5r by @UrbanDemog et al)
Are you in Toronto and interested in transportation? I'll be teaching transportation modeling to calculate travel times and accessibility to destinations in #rstats using #r5r ! Free workshop April 8 @ UofT https://www.eventbrite.ca/e/bousfield-urban-accessibility-r-crash-course-tickets-1284533186339?aff=oddtdtcreator
Bousfield Urban accessibility R Crash Course

Join Bousfield instructor Rafael H. M. Pereira as he leads a crash course on urban accessibility with R!

Eventbrite

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.

Apparently, the easiest way to calculate an #isochrone for travel times is to use #R5r in #Rstats. Trouble is, I've only had one beginner course of R, so I am a bit scared of my ability to troubleshoot anything.

Apparently there is nothing similarly fast in #Python to generate hundreds of isochrones across Europe.

#rJavaEnv and #r5r #rstats downloads periodically see bumps in daily downloads. Someone somewhere is conducting a workshop on #accessibility...?

#r5r: https://ipeagit.github.io/r5r/

#rJavaEnv: https://www.ekotov.pro/rJavaEnv/

Rapid Realistic Routing with R5

Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using R5, the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) corresponds with the R5 version that r5r depends on. This version of r5r depends on R5 v7.1.

our map of proximity to outdoor skating rinks in Toronto from about a year ago

(thinking about this again since I'm on my way to a rink soon :)

more about this map: https://schoolofcities.github.io/access-to-outdoor-rinks-toronto

#toronto #maps #r5r #openstreetmap #qgis #inkscape #gimp

The Geography of Toronto's Outdoor Skating Rinks

Mapping and charting how proximity to outdoor skating rinks varies across the City of Toronto and for different groups of people

#rstats since it's release is early-mid September 2024 #rJavaEnv (ekotov.pro/rJavaEnv/) is averaging 500+ downloads per month. It's your trusty companion for #r5r, #RSelenium, #openNLP and 100+ other #Java dependent packages. Install Java in one line of code + use with #targets #ReproducibleResearch