Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004309
The MH-36 locality cells most similar to this Palghar 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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.446
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650000020
distance 0.446
#2 · Palgharcell 6650004308
distance 0.45
#3 · Palgharcell 6650000411
distance 0.454
#4 · Palgharcell 6650003503
distance 0.464
#5 · Palgharcell 6650000452
distance 0.478
#6 · Palgharcell 6650000453
distance 0.484
#7 · Palgharcell 6650004351
distance 0.49
#8 · Palgharcell 6650000374
distance 0.511
#9 · Palgharcell 6650000339
distance 0.522
#10 · Palgharcell 6650000449
distance 0.524
#11 · Nashikcell 4870001054
distance 0.542 · cross-district
#12 · Palgharcell 6650003239
distance 0.543
#13 · Palgharcell 6650000456
distance 0.545
#14 · Palgharcell 6650000455
distance 0.549
#15 · Nashikcell 4870001053
distance 0.549 · cross-district
#16 · Kolhapurcell 4800002551
distance 0.551 · cross-district
#17 · Gadchirolicell 4750000826
distance 0.551 · cross-district
#18 · Nandurbarcell 4860000304
distance 0.553 · 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":665,"cluster_id":6650004309}}}'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.