Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000578
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.245
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000723
distance 0.245
#2 · Thanecell 4970000960
distance 0.315
#3 · Thanecell 4970000873
distance 0.369
#4 · Thanecell 4970000797
distance 0.408
#5 · Thanecell 4970000798
distance 0.435
#6 · Thanecell 4970000874
distance 0.436
#7 · Mumbai Suburbancell 4830000212
distance 0.436 · cross-district
#8 · Mumbai Suburbancell 4830000187
distance 0.467 · cross-district
#9 · Thanecell 4970001139
distance 0.467
#10 · Bhandaracell 4710002021
distance 0.523 · cross-district
#11 · Sataracell 4940005562
distance 0.526 · cross-district
#12 · Thanecell 4970000865
distance 0.54
#13 · Thanecell 4970000800
distance 0.54
#14 · Punecell 4900013197
distance 0.544 · cross-district
#15 · Thanecell 4970001297
distance 0.571
#16 · Thanecell 4970000645
distance 0.588
#17 · Thanecell 4970000717
distance 0.599
#18 · Ratnagiricell 4920006447
distance 0.603 · 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":4970000578}}}'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.