Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860004381
The MH-36 locality cells most similar to this Nandurbar 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
0.43
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008684
distance 0.43 · cross-district
#2 · Nandurbarcell 4860002974
distance 0.434
#3 · Nandurbarcell 4860004379
distance 0.434
#4 · Nandurbarcell 4860004380
distance 0.438
#5 · Nandurbarcell 4860004573
distance 0.446
#6 · Nandurbarcell 4860004451
distance 0.449
#7 · Nandurbarcell 4860004642
distance 0.45
#8 · Nandurbarcell 4860004641
distance 0.451
#9 · Nandurbarcell 4860004372
distance 0.453
#10 · Amravaticell 4680010492
distance 0.453 · cross-district
#11 · Nandurbarcell 4860005096
distance 0.455
#12 · Nandurbarcell 4860004308
distance 0.456
#13 · Amravaticell 4680006545
distance 0.457 · cross-district
#14 · Nandurbarcell 4860004582
distance 0.461
#15 · Nandurbarcell 4860004449
distance 0.462
#16 · Nandurbarcell 4860004450
distance 0.465
#17 · Nandurbarcell 4860004690
distance 0.466
#18 · Nandurbarcell 4860004576
distance 0.468
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":486,"cluster_id":4860004381}}}'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.