Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004239
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
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004551
distance 0.067
#2 · Dhulecell 4740004554
distance 0.106
#3 · Dhulecell 4740004553
distance 0.142
#4 · Dhulecell 4740004481
distance 0.158
#5 · Dhulecell 4740004482
distance 0.158
#6 · Dhulecell 4740004742
distance 0.159
#7 · Jalgaoncell 4780008351
distance 0.164 · cross-district
#8 · Jalgaoncell 4780008375
distance 0.168 · cross-district
#9 · Dhulecell 4740004682
distance 0.175
#10 · Jalgaoncell 4780008262
distance 0.177 · cross-district
#11 · Jalgaoncell 4780007420
distance 0.184 · cross-district
#12 · Dhulecell 4740004064
distance 0.185
#13 · Jalgaoncell 4780009297
distance 0.186 · cross-district
#14 · Jalgaoncell 4780007669
distance 0.19 · cross-district
#15 · Dhulecell 4740005481
distance 0.19
#16 · Dhulecell 4740004614
distance 0.195
#17 · Dhulecell 4740005475
distance 0.195
#18 · Nandurbarcell 4860002853
distance 0.196 · 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":4740004239}}}'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.