Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000962
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 3 distinct districts
Index confidence
0.88
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.497
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000806
distance 0.497
#2 · Thanecell 4970000730
distance 0.511
#3 · Thanecell 4970001116
distance 0.633
#4 · Thanecell 4970000504
distance 0.641
#5 · Thanecell 4970000879
distance 0.641
#6 · Thanecell 4970001206
distance 0.662
#7 · Punecell 4900006953
distance 0.688 · cross-district
#8 · Thanecell 4970000571
distance 0.711
#9 · Thanecell 4970000731
distance 0.712
#10 · Mumbai Suburbancell 4830000242
distance 0.726 · cross-district
#11 · Mumbai Suburbancell 4830000209
distance 0.738 · cross-district
#12 · Mumbai Suburbancell 4830000229
distance 0.745 · cross-district
#13 · Thanecell 4970000878
distance 0.748
#14 · Thanecell 4970000592
distance 0.757
#15 · Punecell 4900007445
distance 0.761 · cross-district
#16 · Thanecell 4970000963
distance 0.765
#17 · Punecell 4900006952
distance 0.768 · cross-district
#18 · Thanecell 4970000505
distance 0.771
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":4970000962}}}'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.