Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870003788

The MH-36 locality cells most similar to this Nashik 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 1 distinct districts

Index confidence

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.207

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870003102

distance 0.207

#2 · Nashikcell 4870003922

distance 0.216

#3 · Nashikcell 4870003786

distance 0.238

#4 · Nashikcell 4870002705

distance 0.252

#5 · Nashikcell 4870003235

distance 0.267

#6 · Nashikcell 4870003642

distance 0.277

#7 · Nashikcell 4870002973

distance 0.279

#8 · Nashikcell 4870003648

distance 0.284

#9 · Nashikcell 4870002980

distance 0.295

#10 · Nashikcell 4870004966

distance 0.297

#11 · Nashikcell 4870002978

distance 0.299

#12 · Nashikcell 4870003647

distance 0.326

#13 · Nashikcell 4870003929

distance 0.327

#14 · Nashikcell 4870005254

distance 0.329

#15 · Nashikcell 4870004251

distance 0.329

#16 · Nashikcell 4870004094

distance 0.335

#17 · Nashikcell 4870003785

distance 0.341

#18 · Nashikcell 4870002981

distance 0.342

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":487,"cluster_id":4870003788}}}'

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.