@robinlovelace@fosstodon.org
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robinlovelace

@robinlovelace@fosstodon.org

Data science, transport modelling and geocomputation for evidence-based policy, transport decarbonisation and enlightenment.
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robinlovelace, to random
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Git and GitHub are key tools for sharing your work reproducibility and the greater good ๐ŸŒฑ However they are often seen as too 'hardcore' or developer-focussed to be used by researchers and data analysts. That's a misconception! Great vid to get started: https://www.youtube.com/watch?v=8Dd7KRpKeaE

robinlovelace,
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@luis_de_sousa @Codeberg agreed, thanks for the link and +1 to open and community led alternatives to big tech owned platforms. Anyone know if good intro tutorials and videos on codeberg? Please share if so and will boost ๐Ÿš€

robinlovelace,
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@luis_de_sousa @Codeberg good to see. Anyone using Codeburg as main platform for reproductive data science work? Would like to see example repos. GitHub lock in is a thing..

robinlovelace, to datascience
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I've been using Quarto for over a year now and I fully endorse it for technical writing, a game changer that can help get your work out there ๐Ÿš€ If you're new to this space and want to get involved I highly recommend this as a starting point: https://youtu.be/_f3latmOhew?si=VxcMut5INSgK4pyP #DataScience

nowosad, to random
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๐Ÿ”ฅ Thrilled to receive the MSCA Fellowship for my project, PRISM๐Ÿ”ฅ

Over the next two years, I'll be based at the University of Mรผnster, 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).

msca logo

robinlovelace,
@robinlovelace@fosstodon.org avatar

@nowosad Congrats!

martinfleis, to python
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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 ๐Ÿงต 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.๐Ÿ‘‡

#python #geopython #geopandas

robinlovelace,
@robinlovelace@fosstodon.org avatar

@martinfleis How about "EPSG:4326", does it have to be lower case?

In Geocomputation with R we recommend keeping the full code with "EPSG" as easier to understand for newcomers to coordinate systems.

robinlovelace, to datascience
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Request for testing/comment: can any #rstats users out there give the #wip {styler.equals} package a spin and kick its metaphorical tires ๐Ÿšฒ ? 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 ๐Ÿ”ฅ arrows are great too โฌ…๏ธ Any comments/suggestions welcome ๐Ÿ™ #rspatial #DataScience #style

robinlovelace, to random
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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, (edited ) to foss
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Request for help from anyone with 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 ๐Ÿคท . Thanks to new contributors for reviving this package after ~5 years dev hiatus! Please spread the word @rOpenSci and anyone in this for (or at least dates) space! Details: https://github.com/ATFutures/calendar/issues/50

robinlovelace,
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@_TimTaylor @rOpenSci shouldn't be a timezone issue becuase it's Zulu time in the golden file. More details in the issue..

robinlovelace, to rust
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Excited to announce the release of {stplanr} v1.2.0, on CRAN and beyond ๐ŸŽ‰
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 ๐Ÿ”ฅ

robinlovelace,
@robinlovelace@fosstodon.org avatar

Many people to thank for this release ๐Ÿ™
It's been almost 8 years since {stplanr} v0.01 was released to support #DataScience tools for #Transportation planning. The first major use case was the Propensity to Cycle Tool ๐Ÿšฒ now publicly available at https://pct.bike

robinlovelace, (edited )
@robinlovelace@fosstodon.org avatar

Special thanks to @josi for upstream work on {rsgeo} to support fast line splitting, needed for accurate joining of disparate linestrings. Work still underway on this, watch this space ๐Ÿ—๏ธ https://rsgeo.josiahparry.com

robinlovelace,
@robinlovelace@fosstodon.org avatar

In fact, {stplanr} is the first package to build on {rsgeo} of packages in the main #rstats package repository. Won't be the last I suspect (and nudge re releasing a new version Josiah ; ) https://cran.r-project.org/package=rsgeo

robinlovelace,
@robinlovelace@fosstodon.org avatar

How to get it and give it a spin? The following command should do it if you have R installed:

install.package("stplanr")

For more details see the package's website and link to the code on GitHub, feedback + contributions welcome ๐Ÿ™ https://docs.ropensci.org/stplanr/reference/rnet_join.html

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