Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000288
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.348
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650000214
distance 0.348
#2 · Palgharcell 6650000167
distance 0.498
#3 · Palgharcell 6650000239
distance 0.554
#4 · Palgharcell 6650000168
distance 0.562
#5 · Palgharcell 6650000169
distance 0.567
#6 · Palgharcell 6650000187
distance 0.624
#7 · Nashikcell 4870002425
distance 0.654 · cross-district
#8 · Palgharcell 6650002291
distance 0.662
#9 · Palgharcell 6650000215
distance 0.669
#10 · Palgharcell 6650000190
distance 0.674
#11 · Palgharcell 6650000191
distance 0.682
#12 · Palgharcell 6650002140
distance 0.704
#13 · Nashikcell 4870002004
distance 0.712 · cross-district
#14 · Raigadcell 4910005373
distance 0.715 · cross-district
#15 · Palgharcell 6650000264
distance 0.719
#16 · Palgharcell 6650000263
distance 0.72
#17 · Mumbai Suburbancell 4830000269
distance 0.726 · cross-district
#18 · Ratnagiricell 4920002108
distance 0.728 · 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":6650000288}}}'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.