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#r

13 posts13 participants3 posts today
Public
Sharon Machlis

Rainy day here, so I'm using #GenerativeAI to help teach me more about Kyle Walker's cool {mapgl} #RStats 📦 . And it's been pretty fun so far.

1) I uploaded mapgl help files and vignettes to both ChatGPT & Claude.
2) I used the CustomGPT AI Tutor Blueprint chatgpt.com/g/g-1rlItjngn-ai-t to create a good prompt for a mapGL tutor.
3) I added that prompt to Claude, and my tutor was ready!
Prompt: gist.github.com/smach/4c08c4d9

The {pkgprompt} and {rdocdump} #R 📦s help turn R docs into text.

Instead of starting with data and aesthetics, mapgl thinks like this: Map canvas first - you create a base map (like a Google Maps background) Add data as "sources" - your sf objects become data sources Add "layers" that reference those sources - these are like geoms but work differently Style with expressions - not aesthetics, but JavaScript-style expressions This is more like how a web developer builds an interactive map, which is why it's so powerful for complex visualizations. Before I show you the syntax, let me test your intuition: If you had to guess, how do you think you'd start building a mapgl map differently than a ggplot? What do you think comes first - the data or something else? And here's a follow-up: Given that mapgl creates interactive web maps, what do you think might be the equivalent of choosing your x and y variables in ggplot2?
#RSpatial
Public
K Belisario (she/her)

Looking for any examples of using a ShinyApp to allow researchers to select the data they would need for their specific research question. This will be for a large, multi-site project and I was hoping there would be a way to have the the dataset processed based on selection and then sent all securely in the format they need (e.g. long vs wide format). For this to be done securely, I’m thinking the app sends a request which is downloaded regularly to a local machine which can then automatically send out the data as needed using secured methods… But there’s probably a more eloquent way to do this! #R #AskFedi #Data #Database

Public
Sharon Machlis

The {ragnar} #RStats 📦 for doing RAG (retrieval augmented generation) with R has been submitted to CRAN 🎉 ragnar.tidyverse.org/news/inde

In other #GenAI R news: the new {kuzco} #RStats 📦 for computer vision works with local #LLMs in R for classification, recognition, sentiment, text extraction and alt-text generation. posit.co/blog/kuzco-computer-v

Happy to see #R #GenAI activity heating up

ragnar.tidyverse.orgChangelog
Public
OpenGeoHub Foundation

Draft programme for the OpenGeoHub summer school "Data Science for Earth Observation: Hands-on Training in Python, R and Julia" 1—6 September 2025, WICC, Wageningen, is now ready: opengeohub.org/summer-school/s
We are excited to have over 20 lecturers, guru's of open source! giving hands-on sessions + hackathons + many social events. Over 40 hrs of coding & hacking. Don't miss a chance and register while there are still places (deadline: 1st of July)! #python #R #earthobservation #Geospatial #coding

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UG Center for InformationTech

📣 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗛𝘂𝗯 𝟱 𝗝𝘂𝗻𝗲: 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 🐍
Is much of the information you need for your #research available on websites, but not as downloadable #datasets or #files? This workshop will introduce you to the basics of #webscraping in a clear, practical way!

Also drop by at the 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗖𝗮𝗳é where experts will be present for your quick (or big;-) questions about #R, #Python, #Statistics, #MachineLearning, #HPC and #Geo!

ℹ️ More information 👉🏼edu.nl/rw7vd

Research Support Hub for researchers @University of Groningen!
Workshop Web Scraping using Python
Public
GBIF

#R you ready to level-up your data skills 🙌📈

Participants like Moira Wiedebusch undertook courses in R, Tidyverse and data visualization through the GBIF and DataCamp partnership last year.

"After finishing my class I continued using DataCamp to learn more about the uses of R, how to start doing statistical analysis and visualizations using my own data. This has helped me to continue my research and better understand statistical concepts." 👩‍💻

🔗gbif.link/datacampdonates

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