Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920006549
The MH-36 locality cells most similar to this Ratnagiri 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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.276
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910000895
distance 0.276 · cross-district
#2 · Ratnagiricell 4920004253
distance 0.38
#3 · Ratnagiricell 4920006129
distance 0.395
#4 · Raigadcell 4910000049
distance 0.396 · cross-district
#5 · Ratnagiricell 4920005755
distance 0.397
#6 · Ratnagiricell 4920004787
distance 0.399
#7 · Ratnagiricell 4920005351
distance 0.403
#8 · Ratnagiricell 4920006247
distance 0.414
#9 · Ratnagiricell 4920005071
distance 0.416
#10 · Ratnagiricell 4920004160
distance 0.416
#11 · Ratnagiricell 4920005589
distance 0.418
#12 · Ratnagiricell 4920005957
distance 0.42
#13 · Ratnagiricell 4920005312
distance 0.421
#14 · Thanecell 4970002270
distance 0.423 · cross-district
#15 · Ratnagiricell 4920006548
distance 0.425
#16 · Ratnagiricell 4920006177
distance 0.427
#17 · Palgharcell 6650000656
distance 0.428 · cross-district
#18 · Ratnagiricell 4920005415
distance 0.43
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":492,"cluster_id":4920006549}}}'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.