Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710002478
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.223
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001970
distance 0.223
#2 · Bhandaracell 4710002387
distance 0.227
#3 · Bhandaracell 4710001005
distance 0.251
#4 · Gondiacell 4760003345
distance 0.256 · cross-district
#5 · Bhandaracell 4710001843
distance 0.262
#6 · Bhandaracell 4710002637
distance 0.279
#7 · Bhandaracell 4710002386
distance 0.29
#8 · Bhandaracell 4710002718
distance 0.302
#9 · Bhandaracell 4710002288
distance 0.31
#10 · Bhandaracell 4710002130
distance 0.323
#11 · Nagpurcell 4840003976
distance 0.326 · cross-district
#12 · Nagpurcell 4840006718
distance 0.327 · cross-district
#13 · Bhandaracell 4710002432
distance 0.334
#14 · Bhandaracell 4710002802
distance 0.334
#15 · Parbhanicell 4890002869
distance 0.336 · cross-district
#16 · Bhandaracell 4710003529
distance 0.338
#17 · Nagpurcell 4840006226
distance 0.34 · cross-district
#18 · Bhandaracell 4710003447
distance 0.342
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":4710002478}}}'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.