Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790003049

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

0.101

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790003557

distance 0.101

#2 · Jalnacell 4790002700

distance 0.124

#3 · Jalnacell 4790003372

distance 0.13

#4 · Jalnacell 4790003278

distance 0.131

#5 · Jalnacell 4790002541

distance 0.134

#6 · Jalnacell 4790003388

distance 0.144

#7 · Jalnacell 4790003454

distance 0.147

#8 · Jalnacell 4790003810

distance 0.149

#9 · Jalnacell 4790003374

distance 0.149

#10 · Jalnacell 4790003622

distance 0.156

#11 · Jalnacell 4790002701

distance 0.157

#12 · Jalnacell 4790001784

distance 0.157

#13 · Beedcell 4700001907

distance 0.157 · cross-district

#14 · Jalnacell 4790004063

distance 0.157

#15 · Jalnacell 4790002373

distance 0.159

#16 · Beedcell 4700000214

distance 0.164 · cross-district

#17 · Jalnacell 4790003989

distance 0.164

#18 · Jalnacell 4790003999

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":4790003049}}}'

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.