Bhārata Strata · Maharashtra · Sindhudurg · morphological twins
Places like cell 4950004039
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
0.88
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.171
lower = more alike (weighted)
The twins, closest first
#1 · Sindhudurgcell 4950003939
distance 0.171
#2 · Sindhudurgcell 4950004109
distance 0.219
#3 · Sindhudurgcell 4950004208
distance 0.224
#4 · Sindhudurgcell 4950004269
distance 0.234
#5 · Sindhudurgcell 4950004246
distance 0.243
#6 · Ratnagiricell 4920000268
distance 0.246 · cross-district
#7 · Sindhudurgcell 4950003941
distance 0.25
#8 · Sindhudurgcell 4950004270
distance 0.255
#9 · Sindhudurgcell 4950004207
distance 0.255
#10 · Ratnagiricell 4920000312
distance 0.259 · cross-district
#11 · Sindhudurgcell 4950003429
distance 0.259
#12 · Sindhudurgcell 4950004215
distance 0.269
#13 · Sindhudurgcell 4950004214
distance 0.271
#14 · Sindhudurgcell 4950003834
distance 0.274
#15 · Sindhudurgcell 4950003574
distance 0.274
#16 · Sindhudurgcell 4950003424
distance 0.274
#17 · Sindhudurgcell 4950004211
distance 0.285
#18 · Sindhudurgcell 4950003993
distance 0.291
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":4950004039}}}'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.