Interested in #spatial #networks, #openstreetmap data, and #rstats ? Last week I presented the #sfnetworks package at #useR2024 and gave a simplified example of how it can be used to analyze OSM-based street networks. You can find a notebook with the code on GitHub: https://luukvdmeer.github.io/UseR2024/notebook.html
Analyzing real-world geospatial networks in R

Hello @lvdmeer, thank you for the very relevant work on #sfnetworks, I very much enjoyed your talk. Will you be sharing the code behind your slides?
@lvdmeer showcasing #sfnetworks and the many more sustainable transport R packages in the real world at #useR2024 #rstats #rspatial
For those who love visualizing spatial networks: a new #ggraph is released with #sfnetworks compatibility! https://www.data-imaginist.com/posts/2024-02-15-ggraph-2-2-0/ #rstats #rspatial #dataviz Work done by @thomasp85 and @loreabad6
Data Imaginist - A bunch of giraffes, all bundled up

ggraph 2.2.0 has been released. This was definitely not supposed to be a feature release, yet here we are…

Data Imaginist
Nicolas Palominos on Twitter

“#30daysmapchallenge day 2 - Lines Centralidad en la Red Vial de la Region Metropolitana de Santiago Analisis de ~medio millon de segmentos de calles #RSpatial #RStats pkgs {r5r, sfnetworks, osmextract} data: OSM”

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