Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790001945

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

0.135

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790000478

distance 0.135

#2 · Jalnacell 4790000540

distance 0.135

#3 · Jalnacell 4790001947

distance 0.137

#4 · Jalnacell 4790001468

distance 0.144

#5 · Jalnacell 4790002091

distance 0.145

#6 · Jalnacell 4790002934

distance 0.146

#7 · Jalnacell 4790001536

distance 0.146

#8 · Jalnacell 4790000816

distance 0.147

#9 · Jalnacell 4790001543

distance 0.148

#10 · Jalnacell 4790001532

distance 0.155

#11 · Beedcell 4700005438

distance 0.155 · cross-district

#12 · Jalnacell 4790000538

distance 0.155

#13 · Jalnacell 4790001384

distance 0.156

#14 · Beedcell 4700007796

distance 0.16 · cross-district

#15 · Jalnacell 4790001699

distance 0.161

#16 · Jalnacell 4790001614

distance 0.164

#17 · Jalnacell 4790003353

distance 0.164

#18 · Jalnacell 4790001933

distance 0.165

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":4790001945}}}'

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.