Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860004321
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.211
lower = more alike (weighted)
The twins, closest first
#1 · Nandurbarcell 4860004120
distance 0.211
#2 · Nandurbarcell 4860004255
distance 0.216
#3 · Nandurbarcell 4860003491
distance 0.237
#4 · Nandurbarcell 4860004453
distance 0.242
#5 · Nandurbarcell 4860004054
distance 0.248
#6 · Nandurbarcell 4860004254
distance 0.278
#7 · Nandurbarcell 4860004302
distance 0.286
#8 · Nandurbarcell 4860004113
distance 0.294
#9 · Nandurbarcell 4860004458
distance 0.294
#10 · Nandurbarcell 4860004055
distance 0.302
#11 · Nandurbarcell 4860004525
distance 0.306
#12 · Amravaticell 4680010557
distance 0.306 · cross-district
#13 · Nandurbarcell 4860003976
distance 0.311
#14 · Amravaticell 4680010603
distance 0.311 · cross-district
#15 · Nandurbarcell 4860004389
distance 0.313
#16 · Nandurbarcell 4860004520
distance 0.32
#17 · Amravaticell 4680007642
distance 0.321 · cross-district
#18 · Nandurbarcell 4860004567
distance 0.329
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":4860004321}}}'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.