穂別ダム神社 at 71.86 km, 18 m off the road and 166 m before the dam.
Absent from OpenStreetMap entirely — nothing tagged place_of_worship
within 900 m of it — so it came from the author's Google Maps sighting,
positioned from the pin and geocoded to 勇払郡むかわ町穂別稲里.
Readings: author's pass takes kana coverage from 42 to 83 of 173.
Cluster summary regenerated: 穂別 now carries five objects (キャンプ場,
ダム, ダム神社, 大橋, 川).
Page rebuilt, artifact republished, CSV and GeoJSON re-propagated.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
滝ノ上信号場 (45.21 km) and 楓信号場 (57.76 km) were both absent. OSM tags
them railway=signal / railway=junction with no place tag, so they fell
through both the railway filter and the place layer that had caught
滝ノ下信号場 and 十三里信号場.
滝ノ上 was a passenger station until its demotion to 信号場 in 2024.
Strip marks now carry the full object name; the km line underneath shows
the extracted Name when it differs. Labelling by the stripped root alone
was ambiguous where several objects share a name.
CSV and GeoJSON re-propagated from the Markdown. 172 entries.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
Roster now carries, for every entry: kana and romaji readings, the
administrative address with its reading, and the 大字 it sits in.
- Kana/Romaji columns prefilled from OSM name:ja-Hira / name:ja-Latn
where they exist (42 of 170); the rest are blank rather than guessed,
pending the plaque readings.
- Address and Address kana for all 170, from 国土地理院 reverse geocoding
joined to GSI muni.js and 日本郵便 郵便番号データ. Confirms 千栄=ちさか
and 穂別長和=ほべつおさわ.
- District transect: the route sampled every 250 m gives 23 大字 bands
with entry and exit kilometres. R274 does not pass through 字ニニウ at
all — it runs 穂別福山 → 字中央 → 字日高, and both municipal boundaries
fall inside tunnels (穂高 and 日高).
- Fixes a real bug: duplicate-named features shared one set of
coordinates, so both セイコーマート pointed at the same spot 50 km
apart. 12 coordinate cells were wrong.
- 沙流川 added at 105.67 km, where the road joins its valley at 右左府,
rather than at its nearest point past the range end.
- Kind labels normalised to English throughout.
CSV and GeoJSON regenerated from the Markdown, which is now the source
of truth. GeoJSON also carries the district bands as geometryless
features.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
Replaces the three separate tables (structures / watercourses / PoI) with
one table in road order, and adds a Name column: the proper noun with
generic tails stripped (橋, 川, トンネル, 覆道, 郵便局, 発電所, 町, 丁目),
Ainu size qualifiers stripped (パンケ, ペンケ, ポン), and variants aliased
(十三哩→十三里, 滝ノ上→滝の上, 浪ノ沢→浪の沢, 能見→熊見, クルキ→久留喜,
三川 compounds folded together).
Objects are kept in full alongside, with kilometre, offset, kind, WGS84
coordinates and the register attributes.
188 entries, 119 distinct names, 15 names carried by three or more objects.
Adds machine-readable copies for later visualisation work:
274-lookup.csv and 274-lookup.geojson (route line plus one point per
entry, all properties carried through).
Name extraction is mechanical and meant to be corrected by hand.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
Author's calls: 名称不明 has no name to use, and ベリベツ川 is mostly farm
waterway now and sits west of 川端橋, outside the range.
デチン沢川 kept pending verification — 沙流川水系, 河川コード 8101070000
(the 「その他」 group), 42.87965 / 142.43823.
Notes that the list is a shortlist to pick from, not a set of things each
of which earns a line.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
The previous cross-check fetched only the 「その他」 group and ten main
stems, so 549 of the 561 named rivers in the three systems were never
looked at. Named rivers each carry their own 河川コード and are served
separately. Full sweep now done.
Corrects the claim that ホルカクルキ川 has no W05 counterpart: it does,
河川コード 8101030169, and its position agrees with OSM to the metre
(58.26 km, 9 m off). The 北海道 name plate on the bank confirms the
spelling and gives the Ainu original ホロカ・クルヒ (horka・kurihi) —
'to turn back' and 'its shadow'; horka marks a stream running counter to
its parent river. route01's ホロカクルキ was a slip.
31 of 34 names now confirmed by both sources, all but one agreeing to
within 110 m. Remaining: 名称不明 and デチン沢川 (W05 only), ベリベツ川
(OSM only). サヌシュッペ川 parallels the road and is tangent at two
reaches; it was never a disagreement.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
Adds the official river dataset (国土数値情報 河川データセット, via the
Geoshape repository at 国立情報学研究所) as a second source alongside
OpenStreetMap, covering the 石狩川, 鵡川 and 沙流川 systems.
Main stems sit under their own 河川コード rather than the 「その他」 group,
so 夕張川, 鵡川, 穂別川, サヌシュッペ川 and both ウシャップ rivers had to be
fetched separately.
30 of 34 names appear in both sources; 29 of those agree on position to
within 110 m, which validates the projection method. Adds a source column
and notes the four that need care: 名称不明 and デチン沢川 (official only),
ホルカクルキ川 (no W05 counterpart at all), and サヌシュッペ川, which
parallels the road so the two datasets are tangent 5 km apart.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
Follows the pulse / pulse_dev split. 274.md keeps the frontmatter, the
intro and the lyrics workspace; everything below moves to 274-dev.md,
which will document how the PoI candidates were assembled and hold the
filtered charts.
Uses the new relative-Markdown-link convention rather than a siblings
macro, in both directions. Dev page carries publish: false to match
274.md while both are under wip/.
Contents moved verbatim; the dev page's own prose is still to be written.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S6MpcBisZYhX45oDGRRJoz
mikkeli