All 11 tasks complete (shipped in #581/#582/#583). Archive via `openspec archive` (CLI 1.6.0): - Creates openspec/specs/elevation-computation/spec.md — new capability (4 requirements: spike removal, threshold-filtered ascent/descent, cleaned profile series, per-day totals from cleaned data). Purpose filled in (CLI leaves TBD). - Moves the change to openspec/changes/archive/2026-07-13-elevation-profile-hardening/. Spec passes `openspec validate --strict`. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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1. Cleaning primitives
- 1.1 Create
packages/gpx/src/elevation-clean.tswithdespike(points, opts?)— opposite-sign slope-outlier detection (defaultMAX_SLOPE_PERCENT = 100) with linear interpolation, operating per segment on{ distance, elevation }sequences - 1.2 Add
filteredTotals(points, opts?)to the same module — hysteresis accumulator (defaultNOISE_THRESHOLD_M = 5) returning{ gain, loss, gainRaw, lossRaw }with the raw-fallback rule (filtered zero + raw non-zero → report raw) - 1.3 Add
cumulativeFilteredTotals(points, opts?)returning per-point running filtered ascent/descent arrays (for per-day splits) - 1.4 Write
elevation-clean.test.ts: isolated spike interpolated; steep monotonic climb untouched; no cross-segment interpolation; ±2 m jitter → 0 totals; multi-leg climb counted fully; near-flat raw fallback; cumulative arrays sum to totals
2. Wire into existing computations
- 2.1 Update
computeElevationinpackages/gpx/src/parse.tsto despike per segment, then usefilteredTotals; keepgain/loss/profileshape and exposegainRaw/lossRawas additional fields (profile built from despiked data) - 2.2 Update
elevationSeriesinpackages/gpx/src/elevation-series.tsto build from despiked points (despike per segment before flattening) - 2.3 Update
compute-days.tsto build its cumulative ascent/descent arrays viacumulativeFilteredTotalsover the despiked track - 2.4 Update/extend existing tests (
parse.test.ts,elevation-series.test.ts,compute-days.test.ts) with a shared noisy-track fixture; assert chart series, totals, and day sums agree
3. Verification
- 3.1 Confirm no consumer changes needed: typecheck journal + planner; spot-check
gpx-save.server.ts, detail loaders, and plannercomputeDaysusage compile and behave - 3.2 Filtering verified by the shared noisy-track tests (parse/series/compute-days): a 300 m spike + jitter yields ~30 m filtered gain vs ~200 m raw, and the chart series + per-day sums derive from the same despiked data; live browser gain-before/after ride the e2e suite (autonomous run)
- 3.3 Run
pnpm typecheck && pnpm lint && pnpm testand the journal/planner e2e suites