Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004433
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.231
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740003599
distance 0.231
#2 · Dhulecell 4740004566
distance 0.231
#3 · Nandurbarcell 4860002319
distance 0.244 · cross-district
#4 · Nashikcell 4870002463
distance 0.244 · cross-district
#5 · Dhulecell 4740004270
distance 0.245
#6 · Jalgaoncell 4780003987
distance 0.248 · cross-district
#7 · Dhulecell 4740003687
distance 0.252
#8 · Dhulecell 4740005179
distance 0.263
#9 · Dhulecell 4740003609
distance 0.266
#10 · Dhulecell 4740004444
distance 0.266
#11 · Nandurbarcell 4860002318
distance 0.268 · cross-district
#12 · Jalgaoncell 4780006129
distance 0.269 · cross-district
#13 · Dhulecell 4740004132
distance 0.27
#14 · Dhulecell 4740002547
distance 0.27
#15 · Dhulecell 4740003845
distance 0.272
#16 · Jalgaoncell 4780005550
distance 0.278 · cross-district
#17 · Jalgaoncell 4780007506
distance 0.282 · cross-district
#18 · Dhulecell 4740003749
distance 0.284
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":4740004433}}}'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.