Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000109
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
45
morphology-v2 feature dimensions
Closest twin distance
0.065
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000040
distance 0.065
#2 · Dhulecell 4740000533
distance 0.096
#3 · Dhulecell 4740000093
distance 0.099
#4 · Nashikcell 4870012967
distance 0.1 · cross-district
#5 · Dhulecell 4740002636
distance 0.103
#6 · Dhulecell 4740000247
distance 0.103
#7 · Nashikcell 4870012963
distance 0.111 · cross-district
#8 · Dhulecell 4740003175
distance 0.113
#9 · Dhulecell 4740000214
distance 0.117
#10 · Dhulecell 4740000534
distance 0.121
#11 · Jalgaoncell 4780001262
distance 0.122 · cross-district
#12 · Nashikcell 4870006793
distance 0.122 · cross-district
#13 · Dhulecell 4740000588
distance 0.129
#14 · Dhulecell 4740000590
distance 0.129
#15 · Dhulecell 4740000039
distance 0.13
#16 · Jalgaoncell 4780001261
distance 0.131 · cross-district
#17 · Jalgaoncell 4780000372
distance 0.133 · cross-district
#18 · Jalgaoncell 4780001258
distance 0.135 · 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":474,"cluster_id":4740000109}}}'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.