Data Lab. América Latina @DataLabAL

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a deck.gl Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: viewer.geolibre.app Star it on GitHub: github.com/opengeos/GeoLi… Docs and roadmap: geolibre.app Release notes: github.com/opengeos/GeoLi… #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

I will presenting some open-source #GeoAI educational resources on the NSF I-GUIDE platform at 12 PM ET on Wednesday, June 3, 2026 Register link: i-guide.io/i-guide-vco/op…

My GeoAI book is now the #1 best-seller in GIS on Amazon. Thank you to everyone who has supported and shared it. If you’ve been thinking about getting a copy, now is a great time: Full-color print edition (27% off): amazon.com/dp/B0GTVFY3PQ PDF edition (33% off): leanpub.com/geoai/c/494B3C… All code examples are freely available: book.opengeoai.org #geospatial #geoai #opensource

🌱New e-learning course available! The "Water-Energy-Food-Ecosystem Nexus in Agriculture" course offers an introduction to the nexus as a strategic framework & practical tool for advancing sustainable water management in agriculture. Learn more👉 tinyurl.com/dk869asd

The GeoAI Python package now supports object detection using pre-trained models from the GeoDeep libarary (github.com/uav4geo/GeoDeep). The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads. Try it out: GitHub: github.com/opengeos/geoai Notebook example: opengeoai.org/examples/geode… #geospatial #geoai #opensource #python

🚀 New book release: GeoAI with Python: A Practical Guide to Open-Source Geospatial AI The full PDF edition (423 pages) is now available on Leanpub: leanpub.com/geoai All code examples are freely available: book.opengeoai.org This hands-on guide shows how to apply deep learning and AI to satellite imagery, aerial photos, and geospatial data using Python. It walks through the complete workflow, from accessing remote sensing data to training, evaluating, and deploying models using open-source tools. Explore the Table of Contents: book.opengeoai.org The full-color print edition will be available on Amazon soon. #geospatial #geoai #opensource

Take a few minutes to complete the 2026 Python Developers Survey and help us map out an accurate landscape of the Python community! #python #pythondevsurvey surveys.jetbrains.com/s3/python-deve…

New interview: Brett Cannon. gvanrossum.github.io/interviews/ind… Now with RSS feed!

El VISOR GEOMÉTRICO XofY de OpenStreetMap es útil y entretenido: devuelve, para una determinada zona, las geometrías en planta del tipo de elementos (etiquetas) que le pidáis. Yo he probado, en España, con: -catedrales -estadios -embalses Además de los parques de Nueva York.

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We are thrilled to announce that Google’s Satellite Embedding dataset, powered by @GoogleDeepMind's AlphaEarth Foundations model, has been updated for 2025. This additional year of coverage now unlocks the ability to look back, compare, and detect change across the planet with unprecedented clarity. Learn more here ➡️ goo.gle/3NdIxWn Part of Google's Earth AI, the new data represents the state of the planet throughout 2025, distilling petabytes of multi-sensor data into a 64-dimensional embedding for every 10 meter pixel. What’s new in this update? 🧵👇 - 🌍 2025 Data: The state of the planet throughout 2025 is now available on the Earth Engine Data Catalog and Google Cloud Storage. - 🔬 Unprecedented Change Detection: Because these embeddings capture subtle spectral, spatial and temporal signatures, they make it easy to spot significant year-over-year changes without the heavy lifting of raw image processing. - 💚 Long-term Commitment: We are formalizing our commitment to the ongoing production of these annual layers to support your operational workflows. Since we first launched the Satellite Embedding dataset, we’ve been inspired by how our community is putting this data to work. Applications are ranging from ecosystem mapping and agricultural crop-typing to carbon stock prediction. We can’t wait to see what you do next. #EarthEngine #GeoAI #DeepMind

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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

Spatial Distribution of NO2 Density- Kenya Tutorial link: youtu.be/3AhjPNf8zE4?si… Registration link: studyhacksgeospatial.com/product/google… #googleearthengine #EarthObservation #GIS #remotesensing #AI

This is a Satellite-Based Total Suspended Solids (TSS) Distribution Map (mg/L) derived from high-resolution imagery using #GeoAI Tutorial link: youtu.be/GbVpIa91kHs?si… Registration link: studyhacksgeospatial.com/product/privat… #RemoteSensing #WaterQuality #GoogleEarthEngine #GIS

@TheAIColony AI

@maria_gala_ @roidednatty Si necesitan datasets de publicaciones en esta red con gusto les apoyamos. Acá podemos obtener lotes importantes con rangos de selección definidos por ustedes. Falta mucho por hacer en estas tierras.

@xericgit @svpino You can scrape from X with many tools or libs, like request (via X web client) but it's limited to your day account limit. Also you can use tweety (GitHub). If you need help let me know.

@JuanHofmann0 @5eniorDeveloper Si funciona no lo toques aunque sea 🍝. El camino al infierno está lleno de buenas intenciones.

@josedlujan @jpmelnik Y pensar que Google pagó sólo $50 millones por lo que prometía ser un SO abierto para móviles y tablets.

@YahcovRuiz @5eniorDeveloper Python: all_items = oldItems + newItems unique_items = {item.name: item for item in all_items}.values() items = list(unique_items)

@devexpert_io @MoureDev Al rato entendí la ironía:) Andaba amanecido y sin sentido del humor. Y sí, hacen eso y mucho mucho más. Ya casi no es necesario leer los hilos larguísimos de stackoverflow para resolver un bug o resolver atascos de código.