Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012643
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870013139
distance 0.173
#2 · Nashikcell 4870012495
distance 0.195
#3 · Nashikcell 4870012116
distance 0.21
#4 · Nashikcell 4870013222
distance 0.214
#5 · Ahmednagarcell 4660009181
distance 0.247 · cross-district
#6 · Nashikcell 4870008542
distance 0.25
#7 · Nashikcell 4870012215
distance 0.253
#8 · Nashikcell 4870013205
distance 0.259
#9 · Kolhapurcell 4800006207
distance 0.262 · cross-district
#10 · Dhulecell 4740003721
distance 0.262 · cross-district
#11 · Nashikcell 4870013341
distance 0.264
#12 · Nandurbarcell 4860000696
distance 0.269 · cross-district
#13 · Nandurbarcell 4860004226
distance 0.273 · cross-district
#14 · Nashikcell 4870008540
distance 0.274
#15 · Nashikcell 4870008683
distance 0.278
#16 · Ahmednagarcell 4660005435
distance 0.278 · cross-district
#17 · Nashikcell 4870010930
distance 0.283
#18 · Nashikcell 4870012641
distance 0.285
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":4870012643}}}'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.