Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000712
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.572
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970001209
distance 0.572
#2 · Thanecell 4970001213
distance 0.6
#3 · Thanecell 4970000281
distance 0.623
#4 · Thanecell 4970001120
distance 0.626
#5 · Raigadcell 4910004997
distance 0.635 · cross-district
#6 · Thanecell 4970000455
distance 0.635
#7 · Thanecell 4970000395
distance 0.645
#8 · Thanecell 4970001137
distance 0.647
#9 · Mumbai Suburbancell 4830000167
distance 0.651 · cross-district
#10 · Thanecell 4970001136
distance 0.653
#11 · Thanecell 4970000396
distance 0.655
#12 · Mumbai Suburbancell 4830000259
distance 0.658 · cross-district
#13 · Thanecell 4970001124
distance 0.658
#14 · Mumbai Suburbancell 4830000224
distance 0.659 · cross-district
#15 · Thanecell 4970001046
distance 0.678
#16 · Sataracell 4940007307
distance 0.686 · cross-district
#17 · Thanecell 4970000795
distance 0.689
#18 · Raigadcell 4910005596
distance 0.691 · 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":497,"cluster_id":4970000712}}}'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.