Bhārata Strata · Maharashtra · Sindhudurg · morphological twins
Places like cell 4950000050
The MH-36 locality cells most similar to this Sindhudurg 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.098
lower = more alike (weighted)
The twins, closest first
#1 · Sindhudurgcell 4950000026
distance 0.098
#2 · Sindhudurgcell 4950000476
distance 0.119
#3 · Sindhudurgcell 4950000528
distance 0.131
#4 · Sindhudurgcell 4950000025
distance 0.154
#5 · Sindhudurgcell 4950000581
distance 0.165
#6 · Sindhudurgcell 4950000627
distance 0.169
#7 · Sindhudurgcell 4950000810
distance 0.172
#8 · Sindhudurgcell 4950000718
distance 0.172
#9 · Sindhudurgcell 4950000040
distance 0.176
#10 · Sindhudurgcell 4950000530
distance 0.181
#11 · Kolhapurcell 4800000096
distance 0.193 · cross-district
#12 · Kolhapurcell 4800000117
distance 0.196 · cross-district
#13 · Sindhudurgcell 4950000430
distance 0.197
#14 · Sindhudurgcell 4950000587
distance 0.197
#15 · Sindhudurgcell 4950000482
distance 0.201
#16 · Sindhudurgcell 4950000279
distance 0.204
#17 · Sindhudurgcell 4950000230
distance 0.206
#18 · Sindhudurgcell 4950000051
distance 0.207
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":495,"cluster_id":4950000050}}}'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.