Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870005211
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
0.062
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005208
distance 0.062
#2 · Nashikcell 4870005066
distance 0.177
#3 · Nashikcell 4870005212
distance 0.188
#4 · Nashikcell 4870005497
distance 0.202
#5 · Nashikcell 4870005058
distance 0.208
#6 · Ratnagiricell 4920004681
distance 0.241 · cross-district
#7 · Nashikcell 4870006093
distance 0.258
#8 · Nashikcell 4870008138
distance 0.259
#9 · Nashikcell 4870005354
distance 0.26
#10 · Nashikcell 4870005350
distance 0.263
#11 · Ratnagiricell 4920004629
distance 0.265 · cross-district
#12 · Sataracell 4940001269
distance 0.266 · cross-district
#13 · Nashikcell 4870005649
distance 0.268
#14 · Nashikcell 4870004643
distance 0.269
#15 · Nashikcell 4870005359
distance 0.271
#16 · Ratnagiricell 4920004680
distance 0.272 · cross-district
#17 · Ratnagiricell 4920004577
distance 0.272 · cross-district
#18 · Sataracell 4940001273
distance 0.273 · cross-district
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":4870005211}}}'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.