robinlovelace

nowosad, 4 days ago to random

🔥 Thrilled to receive the MSCA Fellowship for my project, PRISM🔥

Over the next two years, I'll be based at the University of Münster, collaborating with Hanna Meyer to incorporate understanding of spatial patterns into machine learning algorithms.

https://buff.ly/4aJEmaX

Looking forward to this experience (starting in August).

#MSCAFellowship #spatialpatterns #rspatial

msca logo

martinfleis, 5 days ago to python

Before @geopandas 1.0 is released, let's take a moment to revisit some of the common patterns that may not provide the best performance anymore. Starting a 🧵 with a few tips from our workshop from last year (all available as a notebook at https://github.com/martinfleis/efficient-geopandas-workshop/blob/main/GeoPython2023.ipynb).

Let's start with the creation of point geometry from coordinates. This is a common operation, but it's not always done in the most efficient way.👇

#python #geopython #geopandas

robinlovelace, 18 days ago to datascience

Request for testing/comment: can any #rstats users out there give the #wip {styler.equals} package a spin and kick its metaphorical tires 🚲 ? Install with remotes::install_github("robinlovelace/styler.equals") and see more at https://github.com/Robinlovelace/styler.equals Especially for those who prefer typing = over <- due to laziness or any other reason! Not intending to start a flame war 🔥 arrows are great too ⬅️ Any comments/suggestions welcome 🙏 #rspatial #DataScience #style

robinlovelace, 20 days ago to random

So many rewarding things about building in the open. One of the biggest is the sense of "Wow I did it" you feel when new contributors get involved. I remember the first time I contributed to an open source project and it felt amazing, built by the community, for the community.

robinlovelace, 21 days ago (edited 21 days ago) to foss

Request for help from anyone with #rstats package development experience or knowledge of time data, especially if you've worked with .ical files before: checks failing in the {calendar} package preventing updated on CRAN and I'm not sure why 🤷 . Thanks to new contributors for reviving this package after ~5 years dev hiatus! Please spread the word @rOpenSci and anyone in this #foss for #DataScience (or at least dates) space! Details: https://github.com/ATFutures/calendar/issues/50

robinlovelace, 22 days ago to rust

Excited to announce the release of {stplanr} v1.2.0, on CRAN and beyond 🎉
Key feature: new implementation of rnet_join(), allowing fast+flexible merging of route network datasets, leveraging {rsgeo} which has a fast (~1000x faster than {lwgeom}) #RustLang backend 🔥

robinlovelace, 1 month ago to random

I'll be presenting on the #OpenScience Cycle Route Uptake and Scenario Estimation (CRUSE) tool for Ireland at the the TRA conference this afternoon, 17:45 session. If you cannot make it in person, you can give it a spin here: https://cruse.bike/ #OpenAccess #TransportPlanning

robinlovelace, 1 month ago to random

Just updated the 3-way-classification of cycle infrastructure (not paint) for Leeds map. Anyone interested in this and with local knowledge, please take a look at interactive results, feedback very welcome (are any segments wrong/missing?): https://github.com/nptscot/osmactive/releases/download/v0.1/classify_cycle_infrastructure_leeds.html

robinlovelace, 1 month ago to random

Experimenting 3-way classification of cycleways w. Sustrans Scotland. Simpler than many classifications, but effective? Feedback on this welcome (especially from people with local knowledge in Edinburgh)! Interactive version: https://github.com/nptscot/osmactive/releases/download/v0.1/cycle_network_classified_edinburgh.html

robinlovelace, 1 month ago to random

Just delivered the 'networkmerge' talk at #GISRUK 2024 on behalf of the team 🙏 Great event, excellent questions and follow-up possibilities (for improving GPS data aggregation and pedestrian analysis), stoked to get this out there. Slides + code: https://buff.ly/43Y4KM1

robinlovelace, 1 month ago to random

Building "protected" cycleways parallel to roads that save people from mixing with motor traffic is one thing. Building cycleways that are far from roads is quite another. Cycleways at least 10 m from roads in central Leeds below, we have a long way to go.

robinlovelace, 1 month ago to random

This is one of the best descriptions of the benefits of switching from non-reproducible WYSIWYG (What You See Is What You Get ) writing software e.g. Word 📎 to reproducible plain text formats like LaTeX or better Quarto. Credit: Joel Schneider and his APA template https://buff.ly/3TRz0Uk

robinlovelace, 1 month ago to random

This is very cool: new interactive map showing travel times to key destinations, and combinations of different destinations by mode. Simple yet powerful, and should be straightforward to reproduce in other places.

video/mp4

zverik, 1 month ago to random

Did anybody by any chance run a city-wide project to inventorize cycling roads and lanes? Which tools were most useful for that?

(Planning to do that this year, and so not wanting to write everything from scratch)

#gischat #openstreetmap

robinlovelace, 2 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, 2 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, 3 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

EvaMaeRey, 4 months ago to random

I'm gonna follow in the 'one geo-viz in 31 days for the "Geocomputation with R" book cover' competition, with a personal goal, 366-day mapping package challenge for {ggnorthcarolina} & {ggnc} Goal is to make a stable template & helper package for ggplot2 sf extension. Would welcome for feedback from the Geocomputation with R community! @robinlovelace @nowosad https://github.com/EvaMaeRey/ggnorthcarolina Hope you've gotten outstanding submissions for book cover initiative & congrats on the book!