Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003429
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.172
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710000984
distance 0.172
#2 · Bhandaracell 4710003383
distance 0.211
#3 · Gondiacell 4760000856
distance 0.228 · cross-district
#4 · Bhandaracell 4710001423
distance 0.229
#5 · Bhandaracell 4710003521
distance 0.23
#6 · Bhandaracell 4710002218
distance 0.236
#7 · Bhandaracell 4710001829
distance 0.24
#8 · Bhandaracell 4710002219
distance 0.241
#9 · Nagpurcell 4840008141
distance 0.255 · cross-district
#10 · Nagpurcell 4840008203
distance 0.257 · cross-district
#11 · Bhandaracell 4710003078
distance 0.257
#12 · Amravaticell 4680009833
distance 0.26 · cross-district
#13 · Bhandaracell 4710003471
distance 0.267
#14 · Bhandaracell 4710002311
distance 0.271
#15 · Bhandaracell 4710001202
distance 0.272
#16 · Nagpurcell 4840006396
distance 0.276 · cross-district
#17 · Bhandaracell 4710003035
distance 0.282
#18 · Bhandaracell 4710003468
distance 0.286
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":4710003429}}}'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.