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Quick shoutout for transport researchers & spatial data scientists in general. We are building a new #rstats package for rapid realistic routing on multimodal transport networks based on R5. You can installed it from https://github.com/ipeaGIT/r5r More updates soon. #r5rstats #rspatial
On its way to CRAN. Fingers crossed.
The r5r
now has a sticker and a website where you can read an intro vignettes showing how the package works https://ipeagit.github.io/r5r/ Proud of this incredible team @mvpsaraiva @dhersz and @ckauebraga for such a speedy package. We created #r5rstats in less then a month
now has a sticker and a website where you can read an intro vignettes showing how the package works https://ipeagit.github.io/r5r/ Proud of this incredible team @mvpsaraiva @dhersz and @ckauebraga for such a speedy package. We created #r5rstats in less then a month
r5r v0.1.0 has landed on CRAN https://cran.r-project.org/web/packages/r5r/index.html
The #r5rstatsmakes is super easy to run rapid realistic routing on multimodal transport networks based on R5 from within R #rstats #rspatial
The #r5rstats
makes is super easy to run rapid realistic routing on multimodal transport networks based on R5 from within R #rstats #rspatial
We have moved this thread to here https://twitter.com/UrbanDemog/status/1308754549545545728, in case you would like to keep update on r5r developments . btw, we just published the new v0.2.0 on CRAN
