Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870005271
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
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005414
distance 0.129
#2 · Nashikcell 4870005565
distance 0.129
#3 · Nashikcell 4870004264
distance 0.132
#4 · Nashikcell 4870005417
distance 0.137
#5 · Sataracell 4940007917
distance 0.137 · cross-district
#6 · Nashikcell 4870007178
distance 0.143
#7 · Sataracell 4940007612
distance 0.147 · cross-district
#8 · Nashikcell 4870006150
distance 0.149
#9 · Nashikcell 4870007766
distance 0.153
#10 · Punecell 4900001589
distance 0.153 · cross-district
#11 · Punecell 4900002330
distance 0.155 · cross-district
#12 · Nashikcell 4870005850
distance 0.157
#13 · Solapurcell 4960007907
distance 0.16 · cross-district
#14 · Punecell 4900001203
distance 0.16 · cross-district
#15 · Sataracell 4940008029
distance 0.163 · cross-district
#16 · Nashikcell 4870008199
distance 0.166
#17 · Nashikcell 4870001781
distance 0.168
#18 · Nashikcell 4870005701
distance 0.169
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":4870005271}}}'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.