Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003307
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
45
morphology-v2 feature dimensions
Closest twin distance
0.168
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003308
distance 0.168
#2 · Bhandaracell 4710003611
distance 0.238
#3 · Bhandaracell 4710002016
distance 0.239
#4 · Bhandaracell 4710002917
distance 0.253
#5 · Bhandaracell 4710003048
distance 0.259
#6 · Bhandaracell 4710003555
distance 0.262
#7 · Nagpurcell 4840002478
distance 0.263 · cross-district
#8 · Bhandaracell 4710003092
distance 0.264
#9 · Nagpurcell 4840002938
distance 0.267 · cross-district
#10 · Nagpurcell 4840002562
distance 0.272 · cross-district
#11 · Gondiacell 4760002861
distance 0.273 · cross-district
#12 · Gondiacell 4760003417
distance 0.274 · cross-district
#13 · Bhandaracell 4710003091
distance 0.276
#14 · Bhandaracell 4710001053
distance 0.276
#15 · Bhandaracell 4710003050
distance 0.277
#16 · Bhandaracell 4710002949
distance 0.279
#17 · Bhandaracell 4710000969
distance 0.28
#18 · Bhandaracell 4710001183
distance 0.284
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":4710003307}}}'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.