Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710002350
The MH-36 locality cells most similar to this Bhandara 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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001457
distance 0.127
#2 · Bhandaracell 4710001812
distance 0.128
#3 · Bhandaracell 4710001416
distance 0.142
#4 · Bhandaracell 4710002391
distance 0.164
#5 · Bhandaracell 4710001701
distance 0.17
#6 · Bhandaracell 4710002192
distance 0.182
#7 · Gondiacell 4760002616
distance 0.183 · cross-district
#8 · Bhandaracell 4710001147
distance 0.195
#9 · Gondiacell 4760002694
distance 0.2 · cross-district
#10 · Gondiacell 4760003498
distance 0.205 · cross-district
#11 · Bhandaracell 4710001368
distance 0.205
#12 · Bhandaracell 4710001057
distance 0.206
#13 · Bhandaracell 4710001184
distance 0.206
#14 · Bhandaracell 4710001113
distance 0.208
#15 · Gondiacell 4760002971
distance 0.209 · cross-district
#16 · Gondiacell 4760003347
distance 0.211 · cross-district
#17 · Bhandaracell 4710002526
distance 0.215
#18 · Bhandaracell 4710000991
distance 0.215
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":471,"cluster_id":4710002350}}}'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.