Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000820
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
0.209
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000814
distance 0.209
#2 · Nashikcell 4870013289
distance 0.222 · cross-district
#3 · Dhulecell 4740000818
distance 0.223
#4 · Dhulecell 4740001953
distance 0.226
#5 · Dhulecell 4740000821
distance 0.228
#6 · Dhulecell 4740003735
distance 0.229
#7 · Dhulecell 4740002478
distance 0.23
#8 · Nashikcell 4870013346
distance 0.23 · cross-district
#9 · Nandurbarcell 4860002324
distance 0.231 · cross-district
#10 · Dhulecell 4740003642
distance 0.234
#11 · Dhulecell 4740003399
distance 0.236
#12 · Nashikcell 4870013354
distance 0.239 · cross-district
#13 · Nandurbarcell 4860002322
distance 0.24 · cross-district
#14 · Dhulecell 4740003400
distance 0.242
#15 · Dhulecell 4740000819
distance 0.245
#16 · Nashikcell 4870013395
distance 0.246 · cross-district
#17 · Nashikcell 4870012555
distance 0.246 · cross-district
#18 · Dhulecell 4740002061
distance 0.246
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":4740000820}}}'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.