Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001365
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
44
morphology-v2 feature dimensions
Closest twin distance
0.13
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001081
distance 0.13
#2 · Bhandaracell 4710001744
distance 0.134
#3 · Bhandaracell 4710001366
distance 0.14
#4 · Bhandaracell 4710001973
distance 0.141
#5 · Bhandaracell 4710001974
distance 0.144
#6 · Bhandaracell 4710001804
distance 0.144
#7 · Gondiacell 4760002952
distance 0.152 · cross-district
#8 · Bhandaracell 4710001821
distance 0.152
#9 · Gondiacell 4760002951
distance 0.156 · cross-district
#10 · Bhandaracell 4710001532
distance 0.156
#11 · Bhandaracell 4710000952
distance 0.157
#12 · Gondiacell 4760002783
distance 0.161 · cross-district
#13 · Bhandaracell 4710001638
distance 0.161
#14 · Bhandaracell 4710001599
distance 0.166
#15 · Bhandaracell 4710002626
distance 0.166
#16 · Gondiacell 4760000513
distance 0.166 · cross-district
#17 · Bhandaracell 4710001072
distance 0.166
#18 · Nagpurcell 4840002657
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":4710001365}}}'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.