Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000728
The MH-36 locality cells most similar to this Thane 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 5 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.386
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000876
distance 0.386
#2 · Thanecell 4970001226
distance 0.409
#3 · Thanecell 4970000799
distance 0.413
#4 · Thanecell 4970002582
distance 0.439
#5 · Thanecell 4970000724
distance 0.484
#6 · Mumbai Suburbancell 4830000152
distance 0.507 · cross-district
#7 · Thanecell 4970000278
distance 0.509
#8 · Punecell 4900012814
distance 0.516 · cross-district
#9 · Thanecell 4970001132
distance 0.524
#10 · Mumbai Suburbancell 4830000358
distance 0.526 · cross-district
#11 · Thanecell 4970000727
distance 0.544
#12 · Jalgaoncell 4780006366
distance 0.561 · cross-district
#13 · Chhatrapati Sambhajinagarcell 4690003206
distance 0.579 · cross-district
#14 · Thanecell 4970000444
distance 0.586
#15 · Thanecell 4970000451
distance 0.594
#16 · Thanecell 4970000162
distance 0.61
#17 · Thanecell 4970001118
distance 0.614
#18 · Thanecell 4970000519
distance 0.629
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":497,"cluster_id":4970000728}}}'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.