Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006607
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
43
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870006606
distance 0.135
#2 · Nashikcell 4870007049
distance 0.146
#3 · Nashikcell 4870007062
distance 0.155
#4 · Nashikcell 4870005582
distance 0.155
#5 · Nashikcell 4870006165
distance 0.169
#6 · Nashikcell 4870006759
distance 0.173
#7 · Nashikcell 4870006654
distance 0.173
#8 · Nashikcell 4870006760
distance 0.178
#9 · Nashikcell 4870006164
distance 0.179
#10 · Chhatrapati Sambhajinagarcell 4690005203
distance 0.18 · cross-district
#11 · Solapurcell 4960000258
distance 0.181 · cross-district
#12 · Nashikcell 4870005739
distance 0.186
#13 · Nashikcell 4870007206
distance 0.189
#14 · Ahmednagarcell 4660014338
distance 0.197 · cross-district
#15 · Nashikcell 4870006952
distance 0.206
#16 · Nashikcell 4870006604
distance 0.209
#17 · Nashikcell 4870005147
distance 0.21
#18 · Chhatrapati Sambhajinagarcell 4690005290
distance 0.213 · 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":4870006607}}}'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.