Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009271
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009131
distance 0.072
#2 · Nashikcell 4870008983
distance 0.096
#3 · Nashikcell 4870012961
distance 0.102
#4 · Nashikcell 4870013037
distance 0.121
#5 · Nashikcell 4870008990
distance 0.129
#6 · Dhulecell 4740000417
distance 0.143 · cross-district
#7 · Nashikcell 4870008847
distance 0.144
#8 · Nashikcell 4870009127
distance 0.146
#9 · Dhulecell 4740000412
distance 0.147 · cross-district
#10 · Nashikcell 4870008404
distance 0.149
#11 · Dhulecell 4740000338
distance 0.15 · cross-district
#12 · Nashikcell 4870008258
distance 0.15
#13 · Nashikcell 4870012343
distance 0.154
#14 · Nashikcell 4870008989
distance 0.157
#15 · Jalgaoncell 4780003530
distance 0.159 · cross-district
#16 · Dhulecell 4740000623
distance 0.16 · cross-district
#17 · Dhulecell 4740000106
distance 0.163 · cross-district
#18 · Nandurbarcell 4860002250
distance 0.165 · 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":4870009271}}}'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.