This article and accompanying tool that Max put out for find...

原始 JSON

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  "content": "This article and accompanying tool that Max put out for finding discrete overnight parking/camping spots throughout Europe got me interested in doing the same thing for USA. I did some vibing and have come up with some data sources and rules after a couple iterations, but I was hoping to ask around on NOSTR for some review by anyone who might know more about this than I do (it's all new to me, both the datasets as well as details about regulations/laws in the US for this sort of thing). Appreciate any feedback from knowledgable peeps on this.\n\nHere is a list of the data sources and rules I'm apply at this point:\n\n1. Data sources\nhttps://i.nostr.build/mWWkVI7nwVB4jpul.png\n\n2. Exclusions - what spots get dropped outright\nA spot is removed entirely if any of the following is true. Sources are noted for each:\n- Not enough forest around it — less than 25% of the surrounding 500 m is forest (NLCD land-cover raster).\n- Too built-up — more than 15 buildings within 300 m, or more than 2 within 100 m (OpenStreetMap — building footprints; huts/cabins/sheds don't count).\n- Not reachable by car — no drivable road within 700 m (OpenStreetMap — road network).\n- Too close to a busy road — within 100 m of a highway/major road, or 80 m of a secondary road (OpenStreetMap — roads).\n- Too close to a railway — within 200 m of an active rail line (OpenStreetMap — railways).\n- It's a pay site — within 250 m of a fee-charging recreation facility (RIDB — federal recreation facilities; flagged when reservable or carrying a real use fee).\n- Its composite score is below 0.30 (computed — see §3).\n\nIt's on land where overnight stays are prohibited and patrolled (excluded_land):\n- Military bases (OpenStreetMap military polygons + PAD-US lands managed by DoD)\n- Tribal land (TIGER/Line AIANNH)\n- National Park Service units, designated Wilderness \u0026 Wilderness Study Areas, National Wildlife Refuges, state wildlife/game areas, state parks, city/county parks, and conservation/agricultural easements (all from PAD-US)\n\n3. Score - how a surviving spot is rated\nEvery spot that clears the exclusions gets a composite score from 0 to ~1.1, built from four weighted parts:\n- Forest coverage — weight 0.45. The fraction of the 500 m circle around the spot that is forest. Source: NLCD land-cover raster (deciduous/evergreen/mixed forest + woody wetland classes).\n- Isolation — weight 0.35. How few buildings are nearby, on a smooth decay curve: 0 buildings within 300 m scores 1.0, ~10 buildings scores 0.5, ~30 scores 0.25. Source: OpenStreetMap building footprints.\n- Dead-end road — weight 0.20. A yes/no: is the spot at the tip of a true cul-de-sac (a drivable dead-end branch 300 m–5 km long)? Source: OpenStreetMap road network (topology).\n- Hiking trailhead — weight 0.10. A yes/no bonus: is the parking tagged as a hiking trailhead? Source: OpenStreetMap (hiking=yes tag).\n\nscore = 0.45·forest + 0.35·isolation + 0.20·dead-end + 0.10·hiking\n\n4. Tiering\nEach surviving spot gets one of four tiers. The rules are checked in order; the first one that matches wins:\n🟢 green — the best. On a dead-end road, deep forest (≥60% coverage), and zero buildings within 100 m. All three \"wilderness\" qualities at once.\n🔵 lightblue — solid. Either: on a dead-end with decent forest (≥40%); or very deep forest (≥70%) with almost nothing built nearby. Two of the three qualities.\n🟡 yellow — fair. Didn't hit the green/blue rules but has an above-average composite score (≥0.50).\n⚪ gray — acceptable. Cleared every hard filter but nothing more; the minimum bar.\n\nnostr:naddr1qvzqqqr4gupzpdlddzcx9hntfgfw28749pwpu8sw6rj39rx6jw43rdq4pd276vhuqy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qgnwaehxw309ahkvenrdpskjm3wwp6kytcqy4mksetjv5kkgmed09hh2tthv9h8gtt5dukhwcttv5kh2updw3hk6mmjwfhhw38dxjf",
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