Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920004073
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.225
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920006303
distance 0.225
#2 · Ratnagiricell 4920003533
distance 0.229
#3 · Ratnagiricell 4920005155
distance 0.231
#4 · Ratnagiricell 4920006882
distance 0.239
#5 · Ratnagiricell 4920005276
distance 0.244
#6 · Ratnagiricell 4920007087
distance 0.244
#7 · Ratnagiricell 4920005039
distance 0.245
#8 · Raigadcell 4910001643
distance 0.245 · cross-district
#9 · Ratnagiricell 4920006474
distance 0.249
#10 · Ratnagiricell 4920003136
distance 0.252
#11 · Raigadcell 4910001535
distance 0.254 · cross-district
#12 · Ratnagiricell 4920004539
distance 0.257
#13 · Ratnagiricell 4920006687
distance 0.259
#14 · Raigadcell 4910001828
distance 0.26 · cross-district
#15 · Ratnagiricell 4920003983
distance 0.261
#16 · Raigadcell 4910002917
distance 0.261 · cross-district
#17 · Ratnagiricell 4920005266
distance 0.262
#18 · Ratnagiricell 4920005781
distance 0.262
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":4920004073}}}'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.