Early feedback welcomed: open source tool for Spatial Data Matching with OpenStreetMap Schema
Дасланы fititnt 11 Чэрвень 2024 на English. Апошняе абнаўленьне 16 Чэрвень 2024.The link for the public version https://sdm.etica.ai/v/0.5/ I made an effort to make it easy and very cheap to host (currently is a client side static vanilla JavaScript+HTML app) and, as a side effect, the privacy of your data is kept.
Since I joined OpenStreetMap in 2022, I’ve done some tools without a graphical interface, and this one I’d love to receive feedback from potential users on such a very niche topic.
Already at early versions of it (I stated a prototype in 2023 mere debug for the real conflation done non interactively before load on OSM editors), I truly attempted to think how to make it as a plugin for JOSM or think how to extend iD instead of keeping it side-by-side with iD or alt-tabbing with JOSM.
The good news: It does have basic support to use one or more files to match by distance and/or by tagging with the one or more target files and then you download the geojson. Okay, addr:street
would need language and country level comparison (because misspellings), and also addr:postcode
may already have logic to tolerate near matches. If you know vanilla JavaScript to code a function to your country, then it could be more forgiving.
The bad news: for points of interest, the so-called “edgematch links”, “rubber shedding links” or whatever the term to be use to export file “these 0-N items in dataset A matches these 0-N items in dataset B” necessarily need human-in-the-loop and it happens in unpredictable ways. And links which aren’t obvious 1-to-1 (while there’s room for suggestion) require need human input. It started as the “typical leaflet” plus a text-only, but we might need a way to visualize N:M links (unless any you have an UI suggestion to plot such links already over pins in a map!).