Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920005299
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
0.305
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920004108
distance 0.305
#2 · Ratnagiricell 4920004158
distance 0.481
#3 · Ratnagiricell 4920005181
distance 0.485
#4 · Ratnagiricell 4920004109
distance 0.514
#5 · Raigadcell 4910004286
distance 0.516 · cross-district
#6 · Ratnagiricell 4920006016
distance 0.517
#7 · Kolhapurcell 4800000495
distance 0.529 · cross-district
#8 · Ratnagiricell 4920004779
distance 0.539
#9 · Dhulecell 4740005042
distance 0.541 · cross-district
#10 · Ratnagiricell 4920004784
distance 0.542
#11 · Ratnagiricell 4920004797
distance 0.547
#12 · Raigadcell 4910003112
distance 0.549 · cross-district
#13 · Ratnagiricell 4920005239
distance 0.549
#14 · Ratnagiricell 4920004571
distance 0.553
#15 · Ratnagiricell 4920004206
distance 0.556
#16 · Ratnagiricell 4920004920
distance 0.559
#17 · Ratnagiricell 4920005982
distance 0.56
#18 · Ratnagiricell 4920005241
distance 0.56
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":4920005299}}}'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.