Stéphane Guillou

icon indicating a website link https://stragu.gitlab.io/ icon indicating an email [email protected]

icon company The University of Queensland icon location Meanjin, Australia icon location Open Science advocate. Open Research Software trainer + research support. Open Source Quality Assurance.

Results 62 comments of Stéphane Guillou

Re-licensing shiny as MIT

I agree

get_inat_user_stats() does not work

Thanks for the report. I just tried it now and got a response. I suspect it was a temporary issue with iNat's servers. Can you please try again?

get_inat_user_stats() does not work

Great, let's close then! Thanks.

"All inputs to rbind.fill must be data.frames" error on getting project's observations

Indeed, I can reproduce the issue. It looks like a big mismatch between the API's reported "project_observations_count" (currently 4368) and what the website shows (currently 132). I don't know why...

removing tm_markers layer with text in shiny not working

Thank you for working on this @mtennekes ! I tested all my different cases in my original description: * 👍 Original 3.3 code works as expected * 👍 as does...

removing tm_markers layer with text in shiny not working

Happy to close this as fixed, @mtennekes ? I can open new tickets for the two remaining crashes if you prefer.

removing tm_markers layer with text in shiny not working

Thanks for fixing the message, I can confirm it works with the current source! The two crashes in https://github.com/r-tmap/tmap/issues/1044#issuecomment-2742153353 remain but users are less likely to hit the first one...

Release osmdata 0.3.0

> For the whatever else part, I would like to try to unify the OSM ecosystem in R and make the representation of OSM objects as much compatible as possible....

[Feature request] Users' collections

I really like this. It's slightly related to what I mentioned in issue https://github.com/diaspora/diaspora/issues/7759 : **filtering the user's own posts out**. Also, if this custom stream can **include or exclude...

toDate() default behaviour gives inconsistent results with month position

Thank you all for the feedback, I appreciate it! To be clear: I see this issue as something that might _introduce_ messiness in the data – hardly something justifiable for...