Bhārata Strata · Maharashtra · Sindhudurg · morphological twins
Places like cell 4950002115
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Sindhudurgcell 4950001179
distance 0.148
#2 · Sindhudurgcell 4950001700
distance 0.164
#3 · Sindhudurgcell 4950001340
distance 0.182
#4 · Sindhudurgcell 4950001345
distance 0.182
#5 · Sindhudurgcell 4950002106
distance 0.185
#6 · Sindhudurgcell 4950001285
distance 0.185
#7 · Sindhudurgcell 4950001860
distance 0.188
#8 · Sindhudurgcell 4950001181
distance 0.217
#9 · Ratnagiricell 4920003141
distance 0.225 · cross-district
#10 · Sindhudurgcell 4950001759
distance 0.231
#11 · Sindhudurgcell 4950001751
distance 0.239
#12 · Sindhudurgcell 4950002025
distance 0.242
#13 · Sindhudurgcell 4950001917
distance 0.242
#14 · Sindhudurgcell 4950001915
distance 0.243
#15 · Sindhudurgcell 4950002111
distance 0.244
#16 · Ratnagiricell 4920002905
distance 0.246 · cross-district
#17 · Sindhudurgcell 4950000964
distance 0.249
#18 · Sindhudurgcell 4950001810
distance 0.252
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":4950002115}}}'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.