Hyesop Shin

I’m thrilled to share that my new book (Spatial Data Management with DuckDB) is now published! 🎉 At 430 pages, this book provides a practical, hands-on guide to scalable geospatial analytics and visualization using DuckDB. All code examples are open-source and freely available on GitHub so you can follow along, adapt, and extend them. Book website: duckdb.gishub.org GitHub repo: github.com/giswqs/duckdb-… Table of Contents: books.gishub.org/duckdb/book-to… The PDF edition of the book is available on @leanpub: leanpub.com/duckdb Full-color print edition will be available on Amazon soon. Stay tuned. #geospatial #duckdb #python #leafmap #datascience

Working with environmental data often means searching through multiple sources and handling messy file formats. The forestdata R package solves this by bringing global forest, land-use, and canopy height datasets directly into R. It makes exploring large-scale ecological data much simpler and fully integrated into your workflow. With forestdata you can: 🔹 Access global canopy height maps 🔹 Explore tree allometry and crown architecture databases 🔹 Work with forest inventories and land cover datasets 🔹 Load everything in tidy or spatial formats for analysis and visualization This opens up new opportunities to study forests, land use, and environmental change, all within R. The visualization below shows an example created with the forestdata R package by Adrián Cidre González. You can find more details on the package website: cidree.github.io/forestdata For more practical insights on R, Python, statistics, and data science, check out my newsletter. Click this link for detailed information: eepurl.com/gH6myT #RStats #programming #Rpackage #DataAnalytics #Data

Top 5 Most Used Python Packages for GIS in 2024! If you're diving into geospatial analysis, mapping, or data viz, these libraries are game-changers. Based on community usage and mentions across sources, here's my rundown. Let's boost your skills! 🧵

Using Python for #dataviz? 🐍 Here are 10 libraries you MUST know: 1️⃣ Matplotlib The foundation. Most other libraries are built on it and share its syntax. It can draw anything: from simple line plots to very complex & polished charts! See matplotlib-journey.com 🧵

QGIS Processing Toolbox tool for Variogram Modeling and Ordinary Kriging using GSTools This tool automates variogram modeling and kriging within QGIS, providing a user-friendly interface for spatial interpolation. #qgis #geostatistics #kriging github.com/geosaber/geost…

Geospatial Guide - About the shape of the earth, Coordinate Reference Systems and Projections github.com/CesiumGS/commu…

The {mapgl} #rstats package's new Story Map feature allows you to create immersive interactive experiences for viewers with the help of @Mapbox's 3D terrain. Check out this example to get you started: a 3D tour of peaks in the Oregon Cascades!

#raster #maps Code demonstration on using freely available climate data by worldclim.org with {geodata} in #rstats to fetch and plot monthly average temperatures for any region. Full Code 🔗 tinyurl.com/geodata-climate Tools #rstats #ggplot2 #sf #terra with #geodata

📢 I'm teaching a Geographic Software Design course this semester at the University of Tennessee! 🎉 All course materials will be freely available online, with new video lectures dropping three times a week. Join us to learn how to create open-source #Python packages for #geospatial 🌍 data analysis and visualization! 📊 🔗 Course Website: geog-510.gishub.org 💻 GitHub Repository: github.com/giswqs/geog-510 🎥 YouTube Playlist: bit.ly/geosoft-design 📜 Enroll for Certification: tiny.utk.edu/geosoft-design Access all materials and videos for free, but if you want personalized feedback, graded assignments, and a certificate of completion, feel free to enroll anytime! The course is self-paced, so you can learn at your convenience. Let's dive into geospatial programming together! 🌍✨

New website for #tidyplots use cases, complete with data and code 🤩 tidyplots.org/use-cases/ #rstats #dataviz #phd

All course materials (slides, readings, code, data) for Introduction to Urban Science (MIT Press, also in Chinese) are now freely available on Github: github.com/lmbett/Introdu… Make them your own and keep in touch! Happy 2025!

By request: Simulate random street walks 🚶‍♂️ in #rstats #shiny! Pick any city, set bounding box + walks to visualize paths via #OpenStreetMap 🗺️. (Note: paths may be problematic!) 💻 Code: github.com/coatless-shiny…

@_YahyaGamal Congrats Yahya!

📢Paper published in #JASSS - open access. We use an Agent Based Model to simulate the UK housing market and explore the impact of financial shocks (interest rates and LTVs) on households' financial behaviours, and accordingly on housing prices & rents. jasss.org/27/4/5.html

I've started making short videos where I walk through the Jupyter notebooks for Think Python. Not sure yet what I'll do with them, maybe an online class. For now, here are the first three: youtube.com/playlist?list=…

Stanford Branding Demo for Shiny Python now with Shinylive + auto GitHub Pages deployment Try it out: 🔗 Play: tinyurl.com/shinylive-stan… 🌐 App: stanford-brand-yml.github.io/py-shiny-brand… 📦 Code: github.com/stanford-brand… #shiny #pyshiny #python #brandyml

Btw I'll be teaching this year's course on reproductibility with R, Docker and Nix starting next Monday it's up: rap4mads.eu mostly unchanged from last year

Here is a new article by a team from @unipotsdam @UFZ_de @idiv @UWaterloo led by @l_szangolies incl @CaraAGallagher where a standardised visual #ODD (vODD) is provided for a quick overview of #models with a link to the written model description. Check it out and use it! jasss.org/27/4/1.html

Professor Benjamin Barratt, explore how we can improve public health by empowering the most vulnerable in society. #ImperialInaugurals #inaugurallecture @ERGImperial Take a deep breath? youtube.com/live/s05TbVPts… via @YouTube

BREAKING NEWS The 2024 #NobelPrize in Literature is awarded to the South Korean author Han Kang “for her intense poetic prose that confronts historical traumas and exposes the fragility of human life.”

🙈 It's 11 PM. I'm trying to explain my sister in law why I'm so excited: I managed to run a little R shiny app INSIDE a quarto report rendered _statically_ using Github: holtzy.github.io/quarto-tricks/… 🎉 Now she believes I'm a weirdo 🙂