Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890000871

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 8 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.258

lower = more alike (weighted)

The twins, closest first

#1 · Jalgaoncell 4780001213

distance 0.258 · cross-district

#2 · Chhatrapati Sambhajinagarcell 4690008273

distance 0.269 · cross-district

#3 · Parbhanicell 4890000987

distance 0.275

#4 · Jalgaoncell 4780001143

distance 0.288 · cross-district

#5 · Jalgaoncell 4780001308

distance 0.293 · cross-district

#6 · Jalgaoncell 4780000547

distance 0.299 · cross-district

#7 · Parbhanicell 4890000992

distance 0.3

#8 · Laturcell 4810006074

distance 0.301 · cross-district

#9 · Gondiacell 4760000598

distance 0.303 · cross-district

#10 · Nandedcell 4850003341

distance 0.307 · cross-district

#11 · Jalgaoncell 4780000633

distance 0.309 · cross-district

#12 · Chandrapurcell 4730004959

distance 0.311 · cross-district

#13 · Ahmednagarcell 4660012084

distance 0.314 · cross-district

#14 · Chandrapurcell 4730007224

distance 0.317 · cross-district

#15 · Chhatrapati Sambhajinagarcell 4690008514

distance 0.317 · cross-district

#16 · Jalgaoncell 4780001781

distance 0.317 · cross-district

#17 · Laturcell 4810005835

distance 0.321 · cross-district

#18 · Nandedcell 4850001092

distance 0.321 · 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":4890000871}}}'

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.