Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790004199

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

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.189

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790004210

distance 0.189

#2 · Jalnacell 4790004459

distance 0.229

#3 · Jalnacell 4790004541

distance 0.231

#4 · Jalnacell 4790004283

distance 0.232

#5 · Jalnacell 4790004284

distance 0.247

#6 · Jalnacell 4790004616

distance 0.247

#7 · Buldhanacell 4720001772

distance 0.253 · cross-district

#8 · Jalnacell 4790004404

distance 0.258

#9 · Jalnacell 4790004661

distance 0.261

#10 · Jalnacell 4790004344

distance 0.263

#11 · Jalnacell 4790004273

distance 0.264

#12 · Jalnacell 4790004277

distance 0.266

#13 · Jalnacell 4790004200

distance 0.267

#14 · Jalnacell 4790004211

distance 0.273

#15 · Jalnacell 4790004330

distance 0.274

#16 · Jalnacell 4790004260

distance 0.277

#17 · Jalnacell 4790004496

distance 0.278

#18 · Jalnacell 4790002780

distance 0.282

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":4790004199}}}'

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.