Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002247
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.183
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004374
distance 0.183
#2 · Nashikcell 4870002988
distance 0.253
#3 · Nashikcell 4870003634
distance 0.26
#4 · Nashikcell 4870002852
distance 0.284
#5 · Ahmednagarcell 4660012729
distance 0.288 · cross-district
#6 · Nashikcell 4870001830
distance 0.289
#7 · Nashikcell 4870002081
distance 0.293
#8 · Sataracell 4940008021
distance 0.302 · cross-district
#9 · Nashikcell 4870002536
distance 0.303
#10 · Nashikcell 4870002633
distance 0.305
#11 · Punecell 4900006872
distance 0.305 · cross-district
#12 · Ahmednagarcell 4660004350
distance 0.308 · cross-district
#13 · Nashikcell 4870002248
distance 0.308
#14 · Punecell 4900000266
distance 0.309 · cross-district
#15 · Nashikcell 4870005409
distance 0.312
#16 · Ahmednagarcell 4660012144
distance 0.312 · cross-district
#17 · Nashikcell 4870002593
distance 0.312
#18 · Nashikcell 4870004080
distance 0.313
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":4870002247}}}'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.