Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006540
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 1 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.136
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007564
distance 0.136
#2 · Nashikcell 4870006539
distance 0.149
#3 · Nashikcell 4870007426
distance 0.158
#4 · Nashikcell 4870007854
distance 0.16
#5 · Nashikcell 4870007859
distance 0.167
#6 · Nashikcell 4870007566
distance 0.171
#7 · Nashikcell 4870006993
distance 0.171
#8 · Nashikcell 4870005670
distance 0.184
#9 · Nashikcell 4870008000
distance 0.193
#10 · Nashikcell 4870007710
distance 0.195
#11 · Nashikcell 4870007282
distance 0.195
#12 · Nashikcell 4870007281
distance 0.195
#13 · Nashikcell 4870006388
distance 0.197
#14 · Nashikcell 4870008148
distance 0.198
#15 · Nashikcell 4870004781
distance 0.2
#16 · Nashikcell 4870007133
distance 0.2
#17 · Nashikcell 4870005371
distance 0.203
#18 · Nashikcell 4870005075
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":4870006540}}}'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.