Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001989
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
0.143
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001818
distance 0.143
#2 · Bhandaracell 4710001933
distance 0.165
#3 · Bhandaracell 4710001762
distance 0.175
#4 · Bhandaracell 4710001825
distance 0.181
#5 · Bhandaracell 4710002749
distance 0.193
#6 · Nagpurcell 4840006627
distance 0.195 · cross-district
#7 · Bhandaracell 4710002307
distance 0.198
#8 · Nagpurcell 4840007832
distance 0.2 · cross-district
#9 · Bhandaracell 4710001113
distance 0.204
#10 · Nagpurcell 4840004196
distance 0.212 · cross-district
#11 · Bhandaracell 4710002774
distance 0.214
#12 · Bhandaracell 4710001117
distance 0.218
#13 · Bhandaracell 4710001879
distance 0.221
#14 · Bhandaracell 4710001653
distance 0.221
#15 · Bhandaracell 4710001183
distance 0.221
#16 · Bhandaracell 4710000878
distance 0.222
#17 · Nagpurcell 4840006143
distance 0.222 · cross-district
#18 · Gondiacell 4760000929
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":4710001989}}}'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.