Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003285
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.231
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003017
distance 0.231
#2 · Thanecell 4970002879
distance 0.24
#3 · Thanecell 4970002865
distance 0.252
#4 · Thanecell 4970003292
distance 0.285
#5 · Palgharcell 6650000714
distance 0.291 · cross-district
#6 · Thanecell 4970003238
distance 0.31
#7 · Palgharcell 6650000761
distance 0.315 · cross-district
#8 · Palgharcell 6650000853
distance 0.316 · cross-district
#9 · Thanecell 4970003323
distance 0.323
#10 · Thanecell 4970003353
distance 0.33
#11 · Palgharcell 6650001013
distance 0.331 · cross-district
#12 · Thanecell 4970003293
distance 0.331
#13 · Palgharcell 6650001007
distance 0.333 · cross-district
#14 · Thanecell 4970002966
distance 0.334
#15 · Thanecell 4970003159
distance 0.336
#16 · Thanecell 4970003161
distance 0.337
#17 · Palgharcell 6650000855
distance 0.34 · cross-district
#18 · Palgharcell 6650000958
distance 0.345 · 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":4970003285}}}'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.