Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870007482
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.104
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007347
distance 0.104
#2 · Nashikcell 4870008206
distance 0.107
#3 · Nashikcell 4870007067
distance 0.141
#4 · Nashikcell 4870007920
distance 0.143
#5 · Nashikcell 4870005007
distance 0.15
#6 · Nashikcell 4870007776
distance 0.156
#7 · Nashikcell 4870007196
distance 0.169
#8 · Nashikcell 4870006608
distance 0.169
#9 · Ahmednagarcell 4660013041
distance 0.185 · cross-district
#10 · Nashikcell 4870006902
distance 0.185
#11 · Ahmednagarcell 4660013732
distance 0.188 · cross-district
#12 · Chhatrapati Sambhajinagarcell 4690001925
distance 0.19 · cross-district
#13 · Nashikcell 4870008057
distance 0.193
#14 · Nashikcell 4870005584
distance 0.195
#15 · Nashikcell 4870007787
distance 0.196
#16 · Chhatrapati Sambhajinagarcell 4690003448
distance 0.2 · cross-district
#17 · Nashikcell 4870005884
distance 0.202
#18 · Nashikcell 4870007768
distance 0.203
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":4870007482}}}'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.