Using Hilbert space-filling curves to visualize the effects of block sizes, interleaving, and compression on GeoTIFF file structure.| Signals & Pixels
Spatial Joins in DuckDB Extremely detailed overview by Max Gabrielsson of DuckDB's new spatial join optimizations.Consider the following query, which counts the number of NYC Citi Bike Trips for each of the neighborhoods defined by the NYC Neighborhood Tabulation Areas polygons and returns the top three: SELECT neighborhood, count(*) AS num_rides FROM rides JOIN hoods ON ST_Intersects( rides.start_geom, hoods.geom ) GROUP BY neighborhood ORDER BY num_rides DESCLIMIT3; The rides table contains...| Simon Willison's Weblog
A data-driven approach to understanding, predicting, and preventing heat-related deaths in urban neighborhoods. The post How Cities Can Beat Extreme Heat: Mapping the Invisible Killer appeared first on Open Geospatial Consortium.| Open Geospatial Consortium
As the world becomes increasingly digitized, maps are a critical asset, connecting us with the information and insights that enable everyday life, aid in problem solving, and keep us safe. When implemented into the DPI approach, mapping data can promote outsized benefits across sectors, from climate resilience and disaster response to urban planning, agriculture, and public health. Read this piece to learn more about why geospatial data should be considered a key component of good DPI.| Digital Impact Alliance
An engineer’s perspective on multi-sensor foundation models.| fnands.com
Discover why full standardization isn’t required to optimize interoperability. Learn how stepwise, machine-readable standards drive scalable, automated systems.| Open Geospatial Consortium
Geospatial systems are rapidly evolving from isolated data silos into dynamic, interoperable ecosystems. This shift enhances resilience, decision-making, and national development. Learn how standards, semantics, and sovereignty are redefining geospatial infrastructure and why this matters now more than ever. The post The Shift That’s Reshaping Geospatial—and Why It Matters Now appeared first on Open Geospatial Consortium.| Open Geospatial Consortium
Discover how the MUDDI standard is transforming underground infrastructure data to build safer, smarter, and more resilient cities from the ground down.| Open Geospatial Consortium
Discover how the Open Science Persistent Demonstrator (OSPD) is transforming research into actionable solutions for global challenges like wildfires and water scarcity.| Open Geospatial Consortium
Explore how OGC is enabling trusted, interoperable space data systems for a rapidly evolving space economy. Learn why alignment, AI, and open standards matter more than ever.| Open Geospatial Consortium
Learn how OGC’s Integrity, Provenance & Trust (IPT) framework ensures reliability of synthetic geospatial imagery—vital for flood, wildfire, emergency & policy use.| Open Geospatial Consortium
A short post today about the QGIS YouTube channel I just launched: called Map Academy. I have my Udemy courses online, and these are aimed at people who want a fully-fledged end-to-end QGIS course at intro or intermediate level. The Udemy courses are going pretty well and I have more than 6,000 students in 148 countries so far - with the top countries being the US, India, the UK, Germany, Canada, Nigeria, Turkey, Indonesia, Egypt and Brazil. If you want to request a video on my new YouTube ch...| Stats, Maps n Pix
Let's begin with a story, from some time around the early 1990s in the north of Scotland. I used to go to a church in Inverness with my Mum when I was growing up and although I've forgotten lots of things, one of the things I do remember is the minister asking this question at the start of a sermon:| Stats, Maps n Pix
Coiled Team| Blog
Many earth observation satellites are equipped with a higher resolution panchromatic sensor, and a lower resolution multispectral sensor. One example of this is the Pleiades satellite constellation by Airbus, for which the panchromatic sensor has a 70 cm ground sampling distance (GSD), and the multispectral sensor has a 2.8 m GSD, i.e. four times lower than the panchromatic band. The panchromatic band is sensitive to a wide spectrum of light, usually overlapping with several of the other spe...| fnands
In this post, we'll check how we can work with geographical data using Python.| DareData Blog