Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790001039

The MH-36 locality cells most similar to this Jalna 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

across 2 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.061

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790001324

distance 0.061

#2 · Jalnacell 4790001262

distance 0.069

#3 · Jalnacell 4790001483

distance 0.072

#4 · Jalnacell 4790000963

distance 0.072

#5 · Jalnacell 4790001105

distance 0.076

#6 · Jalnacell 4790001639

distance 0.08

#7 · Jalnacell 4790001263

distance 0.084

#8 · Jalnacell 4790001033

distance 0.087

#9 · Jalnacell 4790000755

distance 0.09

#10 · Jalnacell 4790000620

distance 0.095

#11 · Jalnacell 4790000760

distance 0.1

#12 · Beedcell 4700007895

distance 0.102 · cross-district

#13 · Jalnacell 4790001109

distance 0.103

#14 · Beedcell 4700007991

distance 0.103 · cross-district

#15 · Jalnacell 4790001110

distance 0.106

#16 · Jalnacell 4790000351

distance 0.106

#17 · Jalnacell 4790001551

distance 0.109

#18 · Jalnacell 4790002288

distance 0.111

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":479,"cluster_id":4790001039}}}'

Machine-readable JSON twin →Full dossier →

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.