Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004844
The MH-36 locality cells most similar to this Dhule cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.231
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004460
distance 0.231
#2 · Jalgaoncell 4780004816
distance 0.252 · cross-district
#3 · Dhulecell 4740003787
distance 0.266
#4 · Nashikcell 4870011482
distance 0.288 · cross-district
#5 · Dhulecell 4740004687
distance 0.295
#6 · Dhulecell 4740005439
distance 0.295
#7 · Chhatrapati Sambhajinagarcell 4690004127
distance 0.309 · cross-district
#8 · Jalgaoncell 4780000209
distance 0.319 · cross-district
#9 · Hingolicell 4770000840
distance 0.321 · cross-district
#10 · Dhulecell 4740001590
distance 0.323
#11 · Dhulecell 4740002727
distance 0.324
#12 · Dhulecell 4740001908
distance 0.329
#13 · Dhulecell 4740000303
distance 0.329
#14 · Dhulecell 4740004838
distance 0.337
#15 · Dhulecell 4740001808
distance 0.34
#16 · Dhulecell 4740005103
distance 0.342
#17 · Dhulecell 4740004130
distance 0.343
#18 · Nashikcell 4870003448
distance 0.345 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":474,"cluster_id":4740004844}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.