Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920000049
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
44
morphology-v2 feature dimensions
Closest twin distance
0.124
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920000181
distance 0.124
#2 · Ratnagiricell 4920000098
distance 0.136
#3 · Ratnagiricell 4920000288
distance 0.164
#4 · Ratnagiricell 4920000028
distance 0.167
#5 · Ratnagiricell 4920000162
distance 0.186
#6 · Ratnagiricell 4920000113
distance 0.188
#7 · Ratnagiricell 4920000182
distance 0.201
#8 · Ratnagiricell 4920000224
distance 0.21
#9 · Ratnagiricell 4920000186
distance 0.212
#10 · Sindhudurgcell 4950002967
distance 0.224 · cross-district
#11 · Ratnagiricell 4920000179
distance 0.224
#12 · Ratnagiricell 4920000004
distance 0.231
#13 · Ratnagiricell 4920000153
distance 0.24
#14 · Sindhudurgcell 4950003751
distance 0.244 · cross-district
#15 · Ratnagiricell 4920000764
distance 0.244
#16 · Ratnagiricell 4920000815
distance 0.249
#17 · Ratnagiricell 4920000557
distance 0.254
#18 · Ratnagiricell 4920000044
distance 0.254
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":4920000049}}}'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.