Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003435
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003391
distance 0.068
#2 · Bhandaracell 4710003121
distance 0.084
#3 · Bhandaracell 4710003120
distance 0.109
#4 · Nagpurcell 4840006944
distance 0.128 · cross-district
#5 · Bhandaracell 4710003472
distance 0.136
#6 · Bhandaracell 4710003510
distance 0.136
#7 · Bhandaracell 4710003543
distance 0.141
#8 · Bhandaracell 4710003393
distance 0.141
#9 · Bhandaracell 4710003478
distance 0.145
#10 · Bhandaracell 4710003512
distance 0.146
#11 · Bhandaracell 4710002994
distance 0.147
#12 · Gondiacell 4760002365
distance 0.149 · cross-district
#13 · Gondiacell 4760002058
distance 0.149 · cross-district
#14 · Bhandaracell 4710002996
distance 0.152
#15 · Nagpurcell 4840003031
distance 0.153 · cross-district
#16 · Bhandaracell 4710003473
distance 0.154
#17 · Bhandaracell 4710002088
distance 0.154
#18 · Nagpurcell 4840003130
distance 0.16 · 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":4710003435}}}'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.