Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006773
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
0.295
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005745
distance 0.295
#2 · Nashikcell 4870006771
distance 0.307
#3 · Nashikcell 4870006617
distance 0.314
#4 · Nashikcell 4870006316
distance 0.319
#5 · Ahmednagarcell 4660012650
distance 0.32 · cross-district
#6 · Beedcell 4700005700
distance 0.32 · cross-district
#7 · Nashikcell 4870006182
distance 0.321
#8 · Nashikcell 4870006317
distance 0.321
#9 · Ahmednagarcell 4660009389
distance 0.321 · cross-district
#10 · Nashikcell 4870006172
distance 0.323
#11 · Jalgaoncell 4780000266
distance 0.325 · cross-district
#12 · Ahmednagarcell 4660011874
distance 0.326 · cross-district
#13 · Nashikcell 4870007359
distance 0.326
#14 · Nashikcell 4870006620
distance 0.327
#15 · Nashikcell 4870006320
distance 0.329
#16 · Nashikcell 4870006465
distance 0.329
#17 · Nashikcell 4870003865
distance 0.332
#18 · Nashikcell 4870004454
distance 0.332
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":4870006773}}}'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.