Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790000708

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 3 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.08

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790000707

distance 0.08

#2 · Jalnacell 4790000709

distance 0.094

#3 · Jalnacell 4790000372

distance 0.117

#4 · Jalnacell 4790000383

distance 0.118

#5 · Jalnacell 4790001069

distance 0.128

#6 · Jalnacell 4790000710

distance 0.129

#7 · Jalnacell 4790000997

distance 0.13

#8 · Jalnacell 4790002156

distance 0.146

#9 · Jalnacell 4790000588

distance 0.165

#10 · Jalnacell 4790000933

distance 0.165

#11 · Beedcell 4700009018

distance 0.17 · cross-district

#12 · Jalnacell 4790001515

distance 0.173

#13 · Jalnacell 4790001520

distance 0.174

#14 · Jalnacell 4790002346

distance 0.175

#15 · Jalnacell 4790001758

distance 0.176

#16 · Jalnacell 4790002497

distance 0.182

#17 · Jalnacell 4790000320

distance 0.19

#18 · Buldhanacell 4720004198

distance 0.193 · 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":479,"cluster_id":4790000708}}}'

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.