Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710000340
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.085
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710000342
distance 0.085
#2 · Bhandaracell 4710000561
distance 0.102
#3 · Bhandaracell 4710000558
distance 0.11
#4 · Bhandaracell 4710000605
distance 0.132
#5 · Bhandaracell 4710000251
distance 0.139
#6 · Bhandaracell 4710000297
distance 0.144
#7 · Chandrapurcell 4730005428
distance 0.145 · cross-district
#8 · Bhandaracell 4710000604
distance 0.148
#9 · Bhandaracell 4710000698
distance 0.151
#10 · Gondiacell 4760000132
distance 0.152 · cross-district
#11 · Bhandaracell 4710000516
distance 0.154
#12 · Bhandaracell 4710000520
distance 0.157
#13 · Bhandaracell 4710000743
distance 0.158
#14 · Chandrapurcell 4730005429
distance 0.159 · cross-district
#15 · Bhandaracell 4710000781
distance 0.161
#16 · Bhandaracell 4710000780
distance 0.164
#17 · Bhandaracell 4710000472
distance 0.166
#18 · Chandrapurcell 4730004653
distance 0.167 · 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":4710000340}}}'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.