Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000218
The MH-36 locality cells most similar to this Dhule 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.086
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000045
distance 0.086
#2 · Dhulecell 4740000108
distance 0.102
#3 · Dhulecell 4740000481
distance 0.113
#4 · Dhulecell 4740000216
distance 0.127
#5 · Dhulecell 4740000982
distance 0.127
#6 · Nashikcell 4870007971
distance 0.13 · cross-district
#7 · Dhulecell 4740001472
distance 0.131
#8 · Nashikcell 4870012823
distance 0.133 · cross-district
#9 · Jalgaoncell 4780000286
distance 0.138 · cross-district
#10 · Jalgaoncell 4780001260
distance 0.138 · cross-district
#11 · Nashikcell 4870006482
distance 0.138 · cross-district
#12 · Dhulecell 4740001569
distance 0.141
#13 · Dhulecell 4740001471
distance 0.141
#14 · Jalgaoncell 4780001255
distance 0.144 · cross-district
#15 · Dhulecell 4740000330
distance 0.145
#16 · Nashikcell 4870007688
distance 0.147 · cross-district
#17 · Dhulecell 4740003085
distance 0.149
#18 · Dhulecell 4740000145
distance 0.15
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":474,"cluster_id":4740000218}}}'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.