Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710000563
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.035
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710000779
distance 0.035
#2 · Bhandaracell 4710000816
distance 0.043
#3 · Bhandaracell 4710000562
distance 0.047
#4 · Bhandaracell 4710000431
distance 0.049
#5 · Bhandaracell 4710000386
distance 0.05
#6 · Bhandaracell 4710000698
distance 0.057
#7 · Bhandaracell 4710000520
distance 0.061
#8 · Bhandaracell 4710000601
distance 0.069
#9 · Bhandaracell 4710000430
distance 0.071
#10 · Gondiacell 4760000584
distance 0.079 · cross-district
#11 · Bhandaracell 4710000516
distance 0.08
#12 · Bhandaracell 4710000472
distance 0.082
#13 · Gondiacell 4760000050
distance 0.096 · cross-district
#14 · Bhandaracell 4710000519
distance 0.096
#15 · Gondiacell 4760000048
distance 0.099 · cross-district
#16 · Gondiacell 4760000368
distance 0.099 · cross-district
#17 · Gondiacell 4760000079
distance 0.1 · cross-district
#18 · Bhandaracell 4710000434
distance 0.101
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":4710000563}}}'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.