Working together to push science forward
Happy rOpenSci users can be found at
You might have read my blog post analyzing the social weather of rOpenSci onboarding, based on a text analysis of GitHub issues. I extracted text out of Markdown-formatted threads with regular expressions. I basically hammered away at the issues using tools I was familiar with until it worked! Now I know there’s a much better and cleaner way, that I’ll present in this note. Read on if you want to extract insights about text, code, links, etc....
Thanks to the second post of the series where we obtained data from eBird we know what birds were observed in the county of Constance. Now, not all species’ names mean a lot to me, and even if they did, there are a lot of them. In this post, we shall use rOpenSci’s packages accessing taxonomy and trait data in order to summarize some characteristics of the birds’ population of the county: armed with scientific and common names of birds, we have access to plenty of open data!...
In this new post, we’re taking a break from modern birding data in our birder’s series… let’s explore gorgeous drawings from a natural history collection! Armed with rOpenSci’s packages binding powerful C++ libraries and open taxonomy data, how much information can we automatically extract from images? Maybe not much, but we’ll at least have explored image manipulation, optical character recognition (OCR), language detection, taxonomic name resolution with rOpenSci’s packages. 🔗 Free natural history images and appropriate R tooling!...
rgbif was seven years old yesterday! 🔗 What is rgbif? rgbif gives you access to data from the Global Biodiversity Information Facility (GBIF) via their API. A samping of use cases covered in rgbif: Search for datasets Get metrics on usage of datasets Get metadata about organizations providing data to GBIF Search taxonomic names Get quick taxonomic name suggestions Search occurrences by taxonomic name/country/collector/etc. Download occurrences by taxonomic name/country/collector/etc....
Thanks to the first post of the series we know where to observe birds near Radolfzell’s Max Planck Institute for Ornithology, so we could go and do that! Or we can stay behind our laptops and take advantage of eBird, a fantastic bird sightings aggregator! As explained by Matt Strimas-Mackey in his recent blog post, “The eBird database currently contains over 500 million records of bird sightings, spanning every country and over 98% of species, making it an extremely valuable resource for bird research and conservation....
Happy rOpenSci users can be found at