Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930006884

The MH-36 locality cells most similar to this Sangli 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 6 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.194

lower = more alike (weighted)

The twins, closest first

#1 · Sataracell 4940008306

distance 0.194 · cross-district

#2 · Sataracell 4940007903

distance 0.195 · cross-district

#3 · Ahmednagarcell 4660001534

distance 0.2 · cross-district

#4 · Punecell 4900005654

distance 0.203 · cross-district

#5 · Kolhapurcell 4800004623

distance 0.215 · cross-district

#6 · Sataracell 4940008781

distance 0.224 · cross-district

#7 · Sataracell 4940008675

distance 0.225 · cross-district

#8 · Kolhapurcell 4800004543

distance 0.227 · cross-district

#9 · Ahmednagarcell 4660003940

distance 0.232 · cross-district

#10 · Ahmednagarcell 4660002945

distance 0.236 · cross-district

#11 · Nashikcell 4870010458

distance 0.239 · cross-district

#12 · Sataracell 4940007810

distance 0.239 · cross-district

#13 · Solapurcell 4960011177

distance 0.239 · cross-district

#14 · Ahmednagarcell 4660004779

distance 0.24 · cross-district

#15 · Sataracell 4940008833

distance 0.242 · cross-district

#16 · Ahmednagarcell 4660003240

distance 0.247 · cross-district

#17 · Ahmednagarcell 4660004027

distance 0.247 · cross-district

#18 · Ahmednagarcell 4660003187

distance 0.25 · 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":493,"cluster_id":4930006884}}}'

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.