Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003549
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
44
morphology-v2 feature dimensions
Closest twin distance
0.139
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003413
distance 0.139
#2 · Bhandaracell 4710003539
distance 0.17
#3 · Bhandaracell 4710003364
distance 0.178
#4 · Bhandaracell 4710003448
distance 0.183
#5 · Bhandaracell 4710003485
distance 0.185
#6 · Bhandaracell 4710003404
distance 0.198
#7 · Gondiacell 4760004482
distance 0.2 · cross-district
#8 · Bhandaracell 4710003502
distance 0.202
#9 · Bhandaracell 4710003189
distance 0.208
#10 · Bhandaracell 4710003143
distance 0.208
#11 · Gondiacell 4760003856
distance 0.214 · cross-district
#12 · Bhandaracell 4710002482
distance 0.215
#13 · Bhandaracell 4710003149
distance 0.218
#14 · Bhandaracell 4710003623
distance 0.218
#15 · Bhandaracell 4710003544
distance 0.22
#16 · Gondiacell 4760004442
distance 0.22 · cross-district
#17 · Gondiacell 4760003872
distance 0.22 · cross-district
#18 · Gondiacell 4760004240
distance 0.222 · 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":471,"cluster_id":4710003549}}}'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.