Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890000982

The MH-36 locality cells most similar to this Parbhani 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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.169

lower = more alike (weighted)

The twins, closest first

#1 · Parbhanicell 4890000981

distance 0.169

#2 · Jalgaoncell 4780001989

distance 0.185 · cross-district

#3 · Jalgaoncell 4780002001

distance 0.199 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690008464

distance 0.208 · cross-district

#5 · Jalgaoncell 4780000625

distance 0.22 · cross-district

#6 · Jalgaoncell 4780003445

distance 0.221 · cross-district

#7 · Jalgaoncell 4780001687

distance 0.222 · cross-district

#8 · Jalgaoncell 4780000822

distance 0.224 · cross-district

#9 · Parbhanicell 4890000583

distance 0.229

#10 · Parbhanicell 4890001225

distance 0.234

#11 · Jalgaoncell 4780003444

distance 0.245 · cross-district

#12 · Jalgaoncell 4780000929

distance 0.248 · cross-district

#13 · Jalgaoncell 4780001132

distance 0.25 · cross-district

#14 · Jalgaoncell 4780000530

distance 0.253 · cross-district

#15 · Jalgaoncell 4780000581

distance 0.256 · cross-district

#16 · Jalgaoncell 4780001265

distance 0.258 · cross-district

#17 · Chhatrapati Sambhajinagarcell 4690008574

distance 0.259 · cross-district

#18 · Chhatrapati Sambhajinagarcell 4690008279

distance 0.262 · 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":489,"cluster_id":4890000982}}}'

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.