Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870007296
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.084
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004942
distance 0.084
#2 · Nashikcell 4870008168
distance 0.1
#3 · Nashikcell 4870008014
distance 0.136
#4 · Nashikcell 4870007152
distance 0.14
#5 · Nashikcell 4870005234
distance 0.151
#6 · Nashikcell 4870007295
distance 0.155
#7 · Nashikcell 4870008159
distance 0.159
#8 · Nashikcell 4870006855
distance 0.166
#9 · Nashikcell 4870006859
distance 0.169
#10 · Nashikcell 4870008169
distance 0.169
#11 · Nashikcell 4870004950
distance 0.172
#12 · Nashikcell 4870006711
distance 0.18
#13 · Nashikcell 4870004806
distance 0.184
#14 · Nashikcell 4870004661
distance 0.189
#15 · Nashikcell 4870007876
distance 0.19
#16 · Nashikcell 4870006705
distance 0.19
#17 · Nashikcell 4870004807
distance 0.193
#18 · Nashikcell 4870007293
distance 0.193
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":4870007296}}}'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.