jorge patiño

🌧️Extreme rainfall is intensifying in West Africa. From 2019–23, several coastal areas saw 60+ heavy-rain days per monsoon period. Clusters of intense rain days push infrastructure past design limits and raise flood risks. 📈More data here: oecd.org/content/dam/oe… #OECDatCOP30

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: github.com/opengeos/geoai Full tutorial: @giswqs/videos" target="_blank" rel="nofollow noopener">youtube.com/@giswqs/videos 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

🗺️Bivariate map of Greater Accra, Ghana📍 Population density × distance to essential services. Part of our work on sustainable mobility in Ghana 👉 shorturl.at/Dl5aj Made with open tools (R, terra, sf, ggplot2) — now easier with GenAI. #UrbanPlanning #RStats @SWAC_OECD

The DE Africa Sandbox is back online! 👩🏾‍💻🌍Wondering where to start? 1) Intro course: learn the basics: learn.digitalearthafrica.org/courses/course… 2) Docs: your go-to guide: docs.digitalearthafrica.org/en/latest/sand… #HowToseries #EarthObservation #Sandbox

Rejoignez-nous au @ACS2ET 🗓 9 sept | 10h, Salle M9 Partenariats et financements innovants : accélérer le développement local par l’adaptation climatique au Sahel et en Afrique de l’Ouest @boad_official, @ecowas_cedeao, @UNDPAfrica , @_AfricanUnion, @ECA_OFFICIAL #climatefinance

Join us at @ACS2ET (Room M9) 🗓 9 Sept | 10:00 Partnerships & Innovative Financing: Accelerating Local Development through Climate Adaptation in the Sahel & West Africa @boad_official, @ecowas_cedeao, @UNDPAfrica, @_AfricanUnion, @ECA_OFFICIAL #ClimateAdaptation #climatefinance

📊🌡️ A new study in @ScienceMagazine reveals an unexpected finding: #Heat disproportionately kills the young, not the elderly, with people under 35 accounting for 87% of heat-related lost life years in Mexico. Full story: bit.ly/4d6gGjF #ExtremeHeat #UrbanHeat

@grok @Arthroconidium @Acyn @grok will Mars be significantly better at that point?

The sun will start becoming a red giant in about 5 billion years, reaching its maximum expansion around 7.6 billion years from now. During this phase, it’s expected to grow to 200-256 times its current radius, roughly 1.19 AU, potentially engulfing Earth, which orbits at 1 AU. However, Earth might face challenges much sooner—within 1.1 billion years, increased solar brightness could trigger a runaway greenhouse effect, making life here unsustainable. While most models predict Earth will be consumed, some suggest it could survive if its orbit expands due to the sun’s mass loss. The outcome remains uncertain, as more research is needed.

Musk: And eventually, all life on Earth will be destroyed by the sun. It's gradually expanding, we do at some point have to be multi-planetary civilization because Earth will be incinerated…

Don’t miss this opportunity! 👇🏽

Nature-based solutions (NBS) have a lot to offer sub-Saharan Africa, like: ☀️Reduced extreme heat. 💧Improved water security. 🌱New green jobs. A new report from WRI and @WorldBank via @GFDRR shows where NBS has already taken root, and what's needed to scale. Read more: go.wri.org/nbsx

It’s no surprise that large language models like ChatGPT are helpful for coding. What makes gptstudio stand out is how it brings that help directly into RStudio through a clean, user-friendly add-in. gptstudio is an R package that integrates ChatGPT into RStudio, allowing you to generate code, explain functions, and write documentation using natural language, all without leaving your IDE. It supports various OpenAI models and offers an add-in panel that works like a built-in assistant. This tool is especially useful when you're experimenting, writing boilerplate code, or just need quick answers while staying in your flow. Advantages of using the gptstudio package: ✔️ Seamless integration into RStudio via an add-in panel ✔️ Helps generate and explain R code using plain language prompts ✔️ Supports multiple OpenAI models, including GPT-3.5 and GPT-4 ✔️ Useful for both beginners and experienced users looking to speed up their workflow Check out the GitHub page for more details: github.com/MichelNivard/g… Join my email newsletter for more tips on R, Python, statistics, and data science. Learn more by visiting this link: eepurl.com/gH6myT #Rpackage #DataAnalytics #Python #RStats #RStudio #coding #statisticians #Data

🚀 GeoAI Tutorial 18: Edit Existing Labeled Datasets for Deep Learning 🌍 Learn how to edit an existing labeled dataset interactively in a Jupyter environment—no desktop GIS required. Use your dataset to train powerful deep learning models. 🎥 Watch the full tutorial here: youtu.be/B9FymJwJr0g 📓 Explore the notebook: geoai.gishub.org/examples/edit_… 🛠️ Check out the GitHub repository: github.com/opengeos/geoai 📚 Dive into the documentation: geoai.gishub.org 📺 Check out the entire YouTube playlist: bit.ly/GeoAI-Tutorials #GeoAI #geospatial #AI #Python #DeepLearning

@TheEconomist 🤔Ese triángulo me parece conocido… @juanp_ospina 😎 @rafaelprietoc 😎 👏🏽👏🏽👏🏽👏🏽👏🏽

The 100 least active cities in a recent study were all found in one region econ.st/42hShmh

Nature based solutions (NBS) have a lot to offer sub-Saharan Africa, like: ☀️Reduced extreme heat 💧Improved water security 🌱New green jobs A new report from WRI and @WorldBank via @GFDRR shows where NBS has already taken root, and what's needed to scale. Read more: go.wri.org/nbsx

Pre-industrial forests vs. current forests 🌿

🔥 ¿Quieres usar IA en R pero no sabes por dónde empezar? 🔥 🚀 Imagina escribir código en R 5 veces más rápido. Automatizar tareas rutinarias o pesadas. 💥 Este mini-curso GRATUITO de @dgkeyes te enseña cómo hacerlo:👇🧵 #AI #AITools #datascience #stats #analytics #rstats

🚀 I spent the entire day training image segmentation models from scratch! I've created several pretrained models to detect features like buildings, cars, ships, solar panels, and wetlands. Video tutorials are coming soon! 🤗 Check out the pretrained models on Hugging Face: huggingface.co/giswqs/geoai 🛠️ Check out the GitHub repository: github.com/opengeos/geoai 📚 Dive into the documentation: geoai.gishub.org 📺 Check out the entire YouTube playlist: bit.ly/GeoAI-Tutorials #GeoAI #geospatial #AI #Python #DeepLearning

30% of children in Sub-Saharan Africa are under nourished. Did you know that urban forest can be part of the solution while contributing to climate resilience and sustainability? Now at the 2nd African Forum on Urban Forests 💚🌳🏘️

Trees help cool cities, but 78% of African cities fall short of the 3-30-300 rule for urban green spaces. Join us at the #AfricanUrbanForestsForum to explore open tools for mapping urban forests and buildup resilience. 19 March, 16h30, The Forum, The Campus, Jo’burg

🚀 GeoAI Tutorial 12: Wetland Mapping with Deep Learning and GeoAI! 🌍 Unlock the power of your geospatial data! Learn to train an wetland detection model and run inference on large datasets—all with just a few lines of code. 🎥 Watch the full tutorial here: youtu.be/ed79i3DTWT0 📓 Explore the notebook: geoai.gishub.org/examples/wetla… 🛠️ Check out the GitHub repository: github.com/opengeos/geoai 📚 Dive into the documentation: geoai.gishub.org 📺 Check out the entire YouTube playlist: bit.ly/GeoAI-Tutorials #GeoAI #geospatial #AI #Python #DeepLearning