Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004410
The MH-36 locality cells most similar to this Nashik 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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.114
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004261
distance 0.114
#2 · Nashikcell 4870004115
distance 0.117
#3 · Nashikcell 4870004978
distance 0.176
#4 · Chhatrapati Sambhajinagarcell 4690002421
distance 0.19 · cross-district
#5 · Nashikcell 4870003551
distance 0.197
#6 · Nashikcell 4870006145
distance 0.205
#7 · Ahmednagarcell 4660013349
distance 0.206 · cross-district
#8 · Nashikcell 4870004838
distance 0.211
#9 · Nashikcell 4870004113
distance 0.216
#10 · Nashikcell 4870006741
distance 0.217
#11 · Ahmednagarcell 4660013504
distance 0.223 · cross-district
#12 · Nashikcell 4870004715
distance 0.224
#13 · Solapurcell 4960005565
distance 0.225 · cross-district
#14 · Nashikcell 4870005132
distance 0.227
#15 · Nashikcell 4870004558
distance 0.23
#16 · Punecell 4900001197
distance 0.232 · cross-district
#17 · Nashikcell 4870003135
distance 0.237
#18 · Nashikcell 4870004860
distance 0.245
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":487,"cluster_id":4870004410}}}'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.