Bhārata Strata · Maharashtra · Sindhudurg · morphological twins
Places like cell 4950004100
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 3 distinct districts
Index confidence
0.88
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Sindhudurgcell 4950003677
distance 0.151
#2 · Sindhudurgcell 4950004229
distance 0.168
#3 · Sindhudurgcell 4950004283
distance 0.171
#4 · Sindhudurgcell 4950004169
distance 0.193
#5 · Sindhudurgcell 4950003463
distance 0.201
#6 · Sindhudurgcell 4950004181
distance 0.209
#7 · Sindhudurgcell 4950004103
distance 0.223
#8 · Sindhudurgcell 4950004087
distance 0.224
#9 · Sindhudurgcell 4950004234
distance 0.228
#10 · Sindhudurgcell 4950004197
distance 0.229
#11 · Sindhudurgcell 4950003822
distance 0.247
#12 · Sindhudurgcell 4950004297
distance 0.248
#13 · Ratnagiricell 4920000136
distance 0.248 · cross-district
#14 · Sindhudurgcell 4950004251
distance 0.257
#15 · Sindhudurgcell 4950004253
distance 0.258
#16 · Sindhudurgcell 4950004233
distance 0.26
#17 · Sindhudurgcell 4950003946
distance 0.264
#18 · Kolhapurcell 4800003275
distance 0.27 · cross-district
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":4950004100}}}'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.