Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920006921
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.199
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920006685
distance 0.199
#2 · Ratnagiricell 4920007097
distance 0.321
#3 · Ratnagiricell 4920003481
distance 0.327
#4 · Ratnagiricell 4920003344
distance 0.332
#5 · Ratnagiricell 4920005472
distance 0.34
#6 · Ratnagiricell 4920005176
distance 0.348
#7 · Ratnagiricell 4920005221
distance 0.354
#8 · Raigadcell 4910000310
distance 0.361 · cross-district
#9 · Raigadcell 4910000546
distance 0.379 · cross-district
#10 · Ratnagiricell 4920003480
distance 0.379
#11 · Ratnagiricell 4920005162
distance 0.386
#12 · Ratnagiricell 4920003483
distance 0.389
#13 · Ratnagiricell 4920003482
distance 0.39
#14 · Ratnagiricell 4920006529
distance 0.395
#15 · Thanecell 4970003481
distance 0.404 · cross-district
#16 · Raigadcell 4910000668
distance 0.405 · cross-district
#17 · Ratnagiricell 4920005117
distance 0.406
#18 · Ratnagiricell 4920003297
distance 0.406
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":4920006921}}}'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.