Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860003813
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Nandurbarcell 4860003387
distance 0.147
#2 · Nandurbarcell 4860003241
distance 0.158
#3 · Nandurbarcell 4860003079
distance 0.187
#4 · Nandurbarcell 4860002984
distance 0.23
#5 · Nandurbarcell 4860004421
distance 0.235
#6 · Nandurbarcell 4860004489
distance 0.245
#7 · Nandurbarcell 4860002986
distance 0.248
#8 · Nandurbarcell 4860004008
distance 0.257
#9 · Jalgaoncell 4780009762
distance 0.259 · cross-district
#10 · Nandurbarcell 4860003541
distance 0.264
#11 · Nandurbarcell 4860003528
distance 0.269
#12 · Nandurbarcell 4860003524
distance 0.273
#13 · Nandurbarcell 4860004007
distance 0.273
#14 · Nandurbarcell 4860003525
distance 0.283
#15 · Nandurbarcell 4860003523
distance 0.283
#16 · Beedcell 4700003253
distance 0.284 · cross-district
#17 · Beedcell 4700001774
distance 0.284 · cross-district
#18 · Buldhanacell 4720003360
distance 0.284 · 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":486,"cluster_id":4860003813}}}'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.