Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002164
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
0.29
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003958
distance 0.29
#2 · Nashikcell 4870003371
distance 0.323
#3 · Nashikcell 4870003923
distance 0.337
#4 · Nashikcell 4870011306
distance 0.366
#5 · Nashikcell 4870002842
distance 0.374
#6 · Punecell 4900003300
distance 0.383 · cross-district
#7 · Punecell 4900000880
distance 0.39 · cross-district
#8 · Sataracell 4940008116
distance 0.391 · cross-district
#9 · Nashikcell 4870002098
distance 0.398
#10 · Nashikcell 4870003968
distance 0.399
#11 · Sataracell 4940006795
distance 0.406 · cross-district
#12 · Sataracell 4940006920
distance 0.406 · cross-district
#13 · Nashikcell 4870002711
distance 0.412
#14 · Nashikcell 4870001561
distance 0.414
#15 · Nashikcell 4870002969
distance 0.415
#16 · Solapurcell 4960009487
distance 0.419 · cross-district
#17 · Nashikcell 4870001825
distance 0.428
#18 · Kolhapurcell 4800004199
distance 0.429 · 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":487,"cluster_id":4870002164}}}'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.