Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870008604
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
0.242
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008748
distance 0.242
#2 · Kolhapurcell 4800002987
distance 0.256 · cross-district
#3 · Nashikcell 4870010366
distance 0.259
#4 · Nashikcell 4870009321
distance 0.267
#5 · Nashikcell 4870008322
distance 0.271
#6 · Nandurbarcell 4860000299
distance 0.275 · cross-district
#7 · Nashikcell 4870000387
distance 0.282
#8 · Dhulecell 4740003555
distance 0.283 · cross-district
#9 · Nashikcell 4870011016
distance 0.285
#10 · Nandurbarcell 4860000406
distance 0.292 · cross-district
#11 · Nashikcell 4870000384
distance 0.295
#12 · Nashikcell 4870000635
distance 0.304
#13 · Nashikcell 4870001527
distance 0.305
#14 · Nashikcell 4870000223
distance 0.309
#15 · Ahmednagarcell 4660012835
distance 0.313 · cross-district
#16 · Nashikcell 4870001157
distance 0.314
#17 · Nashikcell 4870001432
distance 0.317
#18 · Nashikcell 4870010622
distance 0.317
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":4870008604}}}'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.