robinlovelace

robinlovelace, 3 months ago to random

Update on the Network Generation Hackathon, mission accomplished. We all got od2net running, explored new ideas, and ported the setup script into a new language #RStats which can be found in this merged PR: https://buff.ly/48EAaI1 Massive thanks to everyone involved.

robinlovelace, 3 months ago to random

Looking forward to the Network Generation Hackathon tomorrow in the Alan Turing Institute 🚀 For anyone interested in reproducible transport network generation, processing and modelling with open source software this could be of interest, still opportunities to attend online: https://buff.ly/3SUZSm3

robinlovelace, 3 months ago to datascience

So true! For this reason the Transport Data Science module I lead focusses on applications, taking the initiative (you choose the topic you apply the science to and datasets), and empirical exploration. Written for early programmers but equally applicable now #DataScience

robinlovelace, 4 months ago to datascience

On Thursday I delivered the first session of our new and improved Transport Data Science course at Leeds Institute for Transport Studies (ITS) / Urban Data Science (UDS). For anyone interested in reproducible + open #DataScience for transport: https://itsleeds.github.io/TDS/slides/1-intro.html

robinlovelace, 4 months ago to random

Ever wanted to do spatial clustering of orign-destination (OD) data? Well you may want to now! University of Leeds Institute for Transport Studies (ITS) and Alan Turing Institute PhD student Hussein Mahfouz has created this early-stage visualisation of spatial clustering of these zone-zone flows 🏗️ Case study of #Leeds. Looks beautiful AND useful 🎉

robinlovelace, 4 months ago to random

Very happy to have submitted a paper to #GISRUK 2024 in my home city of #Leeds. It was a collaborative effort by me, ITS Leeds colleague Zhao Wang, Will Deakin from Network Rail and Josiah Parry from Esri. All open and reproducible of course thanks to Quarto template by Steph De Sabbata: https://github.com/sdesabbata/quarto-gisruk Details: watch this space!

robinlovelace, 4 months ago to opensource

Epic refactoring mission by web developers at @cyclestreets just merged into our Network Planning Tool codebase 🏗️ 1000 lines of code removed and no reduction in functionality 🎉 See the #opensource frontend code here, contributions welcome: https://github.com/nptscot/nptscot.github.io/pull/126

robinlovelace, 5 months ago to random

Happy New Year! In celebration I've written a short reflection on the year gone by and hopes and dreams for the next one: https://www.robinlovelace.net/post/new-year-reflections/ bring on 2024 🚀

UrbanDemog, 5 months ago to random

📖The Eng version of "Introduction to urban accessibility a practical guide with R" has been officially published by @ipeaonline.
In addition to the online book, you can now download the book as a PDF to read it offline.
🌐https://ipeagit.github.io/intro_access_book/
Great colab with @dhersz

edzer, 5 months ago to random

sf 1.0-15 now on CRAN! https://r-spatial.github.io/sf/news/index.html #rspatial

robinlovelace, 5 months ago to random

New paper reviewing the growing evidence on street lighting and cycling, by me and ITS Leeds colleague Eugeni, just published 🗲🚲🔦 Overall: there is evidence that it helps, especially for beginners. See full paper here:
https://www.sciencedirect.com/science/article/pii/S2950105923000086

robinlovelace, 5 months ago to datascience

Re-generating input datasets for our network merging methods + reproducible #DataScience + geocomputation + visualisation for sustainable transport planning paper. #workinprogress 🏗️
If anyone knows of any good examples of 'braiding' like this let us know!

philmassicotte, 5 months ago to random

Happy to announce that #rstats v1.0.0 is on the way to CRAN.

This is a major release that ends support to sp in favor to sf and terra. Users can now choose either get an sf or SpatVector using the returnclass argument.

revdepcheck reported no problems, but feel free to open issues if we missed something: https://github.com/ropensci/rnaturalearth

robinlovelace, 5 months ago to random

For fast, flexible and beautiful reproducible map making the #RStats package tmap v4 is hard to beat. Give it a spin, remove constraints imposed on your creativity by clunky software, and learn more by following this chapter of Geocomputation with R: https://r.geocompx.org/adv-map
Edition II is almost ready 🚀

mdsumner, 6 months ago to random

it works!

mesh tricks meet dumb grids, adaptive densify for a particular crs

robinlovelace, 6 months ago to python

This is magic, #Python and #RStats auto installed in seconds on GitHub Actions, which runs all the code in the literate programming system Quarto, renders the results, and deploys them. Technology for reproducible research has come a long way over last decade, and it's accelerating 🚀

video/mp4

robinlovelace, 6 months ago to random

📢 The Geocomputation with R front cover image competition is live 📢 See details and how to submit your entry here: https://geocompx.org/post/2023/map-cover-competition/ #rstats #gischat #geocompx

robinlovelace, 6 months ago to svelte

This is a bit of a long shot, but if there are any #Svelte developers out there interested in mapping who would be willing to spend a bit of time helping a novice (me) out in some experiments to improve UX in web apps for sustainable transport planning, please get in touch. #GeoSpatial #DataScience