Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001223
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.473
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000219
distance 0.473
#2 · Thanecell 4970001308
distance 0.521
#3 · Thanecell 4970001309
distance 0.546
#4 · Thanecell 4970001311
distance 0.609
#5 · Thanecell 4970001391
distance 0.674
#6 · Thanecell 4970000585
distance 0.766
#7 · Thanecell 4970000049
distance 0.777
#8 · Thanecell 4970000450
distance 0.786
#9 · Mumbai Suburbancell 4830000170
distance 0.79 · cross-district
#10 · Nagpurcell 4840003873
distance 0.798 · cross-district
#11 · Thanecell 4970000661
distance 0.807
#12 · Raigadcell 4910005525
distance 0.827 · cross-district
#13 · Mumbai Suburbancell 4830000210
distance 0.837 · cross-district
#14 · Thanecell 4970000354
distance 0.84
#15 · Thanecell 4970001390
distance 0.842
#16 · Mumbai Suburbancell 4830000229
distance 0.843 · cross-district
#17 · Thanecell 4970000441
distance 0.847
#18 · Thanecell 4970000332
distance 0.851
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":4970001223}}}'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.