Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011928
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.172
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012243
distance 0.172
#2 · Nashikcell 4870013160
distance 0.172
#3 · Nashikcell 4870012675
distance 0.192
#4 · Nashikcell 4870011684
distance 0.194
#5 · Ahmednagarcell 4660006020
distance 0.195 · cross-district
#6 · Nashikcell 4870012330
distance 0.209
#7 · Nashikcell 4870012873
distance 0.213
#8 · Ahmednagarcell 4660003976
distance 0.214 · cross-district
#9 · Nashikcell 4870005451
distance 0.218
#10 · Nashikcell 4870012802
distance 0.223
#11 · Ahmednagarcell 4660000388
distance 0.226 · cross-district
#12 · Ahmednagarcell 4660014515
distance 0.228 · cross-district
#13 · Dhulecell 4740001800
distance 0.23 · cross-district
#14 · Nashikcell 4870004437
distance 0.23
#15 · Nashikcell 4870013022
distance 0.232
#16 · Nashikcell 4870013090
distance 0.233
#17 · Sanglicell 4930001456
distance 0.241 · cross-district
#18 · Nashikcell 4870013024
distance 0.244
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":4870011928}}}'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.