mockup: DBSCAN density clustering for event layers [DHIS2-21461] - #3767
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Mockup for DHIS2-21461. Adds a third event-clustering mode alongside the existing grid and donut clustering: density-based clustering via @turf/clusters-dbscan, which groups nearby events by density rather than by map grid cell and explicitly separates dense clusters from noise (sporadic events that join no cluster). Entirely client-side, built on the existing "events" layer type in maps-gl — no maps-gl changes needed, since its point/label rendering already supports per-feature radius/color/name overrides. Settings (enabled, neighborhood radius, minimum cluster size) are gated behind and persisted in the layer's config JSON blob, so a saved map round-trips the DBSCAN settings for sharing. DO NOT MERGE Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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🚀 Deployed on https://pr-3767.maps.netlify.dhis2.org |
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Test map:
https://pr-3767.maps.netlify.dhis2.org/#/K4TwN698Hwi
→ https://dev.im.dhis2.org/maps-app-42-3
Mockup for DHIS2-21461
DO NOT MERGE
Description
Adds a third event-clustering mode alongside the existing grid and donut clustering: density-based clustering via @turf/clusters-dbscan, which groups nearby events by density rather than by map grid cell and explicitly separates dense clusters from noise (sporadic events that join no cluster).
Entirely client-side, built on the existing "events" layer type in maps-gl — no maps-gl changes needed, since its point/label rendering already supports per-feature radius/color/name overrides. Settings (enabled, neighborhood radius, minimum cluster size) are gated behind and persisted in the layer's config JSON blob, so a saved map round-trips the DBSCAN settings for sharing.
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