🆕 New technical article (in English): Efficient workflow to load and explore ENC (S-57) nautical charts in PostGIS and QGIS.
🔍 Overview of the S-57 format structure
⚙️ Automated import with ogr2ogr and batch scripts
🧩 PostGIS optimization: triggers, stored procedures & indexing
🗺️ QGIS-ready in minutes for fast cartographic exploration
📘 Read the article here 👉https://www.sigterritoires.fr/index.php/en/enc-maps-in-qgis-with-postgis1/
#QGIS #PostGIS #S57 #ENC #GeoSpatial #MarineGIS #ogr2ogr #GDAL
Lately I've been working with vector tiles, building footprints and different tools. I'm getting warped geometries using #tippecanoe and #ogr2ogr, but the effects of simplification are much less noticeable with Martin. I have tested a lot of different parameter combinations with tippecanoe but couldn't improve the results. Any idea what else can I try?
Martin is generating the tiles directly from postgres using the native CRS of the data (epsg:25830) without prior reprojection. #vectortiles
how the “random #geodata generator” application is built using #webassembly #wasm
#openlayers #vue #gdal #ogr2ogr #ogr #webmap #typescript
For software development, I often need different geodata sets for testing. So far, I have created these with geojson.io or QGIS or downloaded data from OpenStreetMap or Natural Earth. However, I had a use case where I needed data from specific regions. And ideally not only in WGS84, but also in the respective UTM projection for the region. Since there is no such tool to my knowledge, I wrote it myself.