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Phone-first OS grid reference finder
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檢視完整 README ↗A pocket map and notebook for rangers, built by Nick for the South Cumbria NNR team (iPhone first). Live at https://nickjsykes.github.io/gridref/ (install guide: install.html).
data/ostn15.json).node test/parse.test.js.proxy/ (Cloudflare Worker fieldnotes-tiles.nickjsykes.workers.dev, Premium key held as a secret): full OS MasterMap detail to zoom 20..github/workflows/tides.yml into data/tides.json and shown when you type "tide" in search (build 150).Offline data: download OS Open Names and Code-Point Open (CSV) into build/src/ as opname.zip and codepo.zip, then python build/build_offline.py. Contains OS data © Crown copyright and database right 2026 (Open Government Licence v3.0).
Accuracy: OSTN15 (via a 5 km correction table over a Helmert shift), within a few cm of OS. Phone GPS is ~5 m in the open and worse under trees, so the app gives 8 figures; 10-figure refs can still be searched.
Static files only, no build step: index.html (layout), app.css (styles, light/dark tokens), app.js (the app), osgb.js (grid conversions), parse.js (search parsing), local.js (offline place/postcode search), zip.js (backup zips), sw.js (offline).
Releasing: python build/release.py bumps VERSION, the script ?v= tags, version.json and the sw.js CACHE together. Open copies (any browser) see the new version.json and reload onto it.
maps/): tiles cut from OS OpenMap Local (Full Colour Raster, OGL) for the seven reserves in PACK in build/build_tiles.py, zoom 11-17, plus the LiDAR relief layer (maps/relief, from build/build_relief.py), about 31 MB. The app downloads the whole pack by itself when it has signal (progress in the layers menu), and when map tiles stop loading it lays the OS map over the screen with a "Switching to offline maps" message.
Rebuild: download omlras_gtfc_sd.zip / omlras_gtfc_ny.zip (OS Downloads API, OpenMapLocal, GeoTIFF Full Colour) into build/src/, then C:/Dev/Terra/.venv/Scripts/python.exe build/build_tiles.py (needs rasterio + Pillow). Add a reserve by adding its NNR REF_CODE to PACK.data/nnr.geojson is the copy shipped for first use offline (refresh it with the query URL in index.html, NNR_LIVE).build_ostn15.py (OSTN15 table), fetch_tides.py (tides, run by the workflow), draw_icon.py (home-screen icon), draw_art.py (empty-notebook contour texture).One rule everywhere, so nobody has to learn each screen: