Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001318
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
43
morphology-v2 feature dimensions
Closest twin distance
0.114
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001312
distance 0.114
#2 · Nagpurcell 4840001648
distance 0.153 · cross-district
#3 · Bhandaracell 4710001319
distance 0.156
#4 · Bhandaracell 4710001138
distance 0.159
#5 · Bhandaracell 4710001412
distance 0.161
#6 · Bhandaracell 4710001044
distance 0.174
#7 · Bhandaracell 4710001314
distance 0.18
#8 · Bhandaracell 4710002365
distance 0.186
#9 · Bhandaracell 4710001351
distance 0.186
#10 · Gondiacell 4760003289
distance 0.189 · cross-district
#11 · Bhandaracell 4710002041
distance 0.189
#12 · Gondiacell 4760002325
distance 0.193 · cross-district
#13 · Bhandaracell 4710001945
distance 0.194
#14 · Gondiacell 4760003902
distance 0.194 · cross-district
#15 · Bhandaracell 4710002441
distance 0.197
#16 · Gondiacell 4760000739
distance 0.201 · cross-district
#17 · Bhandaracell 4710002251
distance 0.202
#18 · Bhandaracell 4710002001
distance 0.202
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":4710001318}}}'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.