Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870005799
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
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870006981
distance 0.113
#2 · Nashikcell 4870005940
distance 0.122
#3 · Nashikcell 4870005798
distance 0.16
#4 · Nashikcell 4870008152
distance 0.164
#5 · Nashikcell 4870005660
distance 0.165
#6 · Nashikcell 4870007846
distance 0.171
#7 · Nashikcell 4870007702
distance 0.18
#8 · Nashikcell 4870005361
distance 0.18
#9 · Nashikcell 4870007411
distance 0.182
#10 · Nashikcell 4870007700
distance 0.183
#11 · Nashikcell 4870007991
distance 0.184
#12 · Nashikcell 4870004640
distance 0.188
#13 · Nashikcell 4870006092
distance 0.191
#14 · Nashikcell 4870005511
distance 0.193
#15 · Nashikcell 4870007558
distance 0.196
#16 · Nashikcell 4870006086
distance 0.196
#17 · Nashikcell 4870005365
distance 0.199
#18 · Nashikcell 4870006091
distance 0.2
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":4870005799}}}'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.