Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870005240
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
0.22
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005249
distance 0.22
#2 · Nashikcell 4870005398
distance 0.256
#3 · Nashikcell 4870004672
distance 0.271
#4 · Nashikcell 4870008033
distance 0.273
#5 · Nashikcell 4870005682
distance 0.285
#6 · Nashikcell 4870005103
distance 0.29
#7 · Nashikcell 4870006875
distance 0.304
#8 · Nashikcell 4870006406
distance 0.307
#9 · Nashikcell 4870005532
distance 0.309
#10 · Nashikcell 4870011761
distance 0.313
#11 · Nashikcell 4870006417
distance 0.327
#12 · Nashikcell 4870005542
distance 0.327
#13 · Nashikcell 4870006126
distance 0.342
#14 · Nashikcell 4870006718
distance 0.345
#15 · Nashikcell 4870005096
distance 0.346
#16 · Nashikcell 4870007735
distance 0.348
#17 · Nashikcell 4870007015
distance 0.35
#18 · Nashikcell 4870007018
distance 0.35
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":4870005240}}}'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.