Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000975
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.261
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000280
distance 0.261
#2 · Nashikcell 4870004361
distance 0.268
#3 · Nashikcell 4870003635
distance 0.294
#4 · Punecell 4900012680
distance 0.296 · cross-district
#5 · Nandurbarcell 4860003905
distance 0.297 · cross-district
#6 · Nashikcell 4870003813
distance 0.299
#7 · Nashikcell 4870008313
distance 0.301
#8 · Nashikcell 4870002195
distance 0.304
#9 · Nashikcell 4870004379
distance 0.309
#10 · Nandurbarcell 4860004092
distance 0.317 · cross-district
#11 · Solapurcell 4960004814
distance 0.318 · cross-district
#12 · Nashikcell 4870008466
distance 0.318
#13 · Nandurbarcell 4860004238
distance 0.319 · cross-district
#14 · Nashikcell 4870003667
distance 0.32
#15 · Nashikcell 4870001263
distance 0.321
#16 · Dhulecell 4740000728
distance 0.322 · cross-district
#17 · Nashikcell 4870002868
distance 0.322
#18 · Nashikcell 4870002531
distance 0.322
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":4870000975}}}'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.