Bhārata Strata · Maharashtra · Thane · morphological twins

Places like cell 4970002078

The MH-36 locality cells most similar to this Thane 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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.11

lower = more alike (weighted)

The twins, closest first

#1 · Thanecell 4970002159

distance 0.11

#2 · Thanecell 4970002172

distance 0.157

#3 · Thanecell 4970002457

distance 0.163

#4 · Thanecell 4970002233

distance 0.17

#5 · Thanecell 4970002170

distance 0.171

#6 · Thanecell 4970002162

distance 0.174

#7 · Thanecell 4970002399

distance 0.175

#8 · Thanecell 4970002252

distance 0.178

#9 · Thanecell 4970002462

distance 0.178

#10 · Thanecell 4970002093

distance 0.183

#11 · Thanecell 4970002325

distance 0.184

#12 · Thanecell 4970003175

distance 0.185

#13 · Thanecell 4970003088

distance 0.189

#14 · Thanecell 4970002663

distance 0.196

#15 · Thanecell 4970002468

distance 0.198

#16 · Thanecell 4970002152

distance 0.199

#17 · Nashikcell 4870009555

distance 0.2 · cross-district

#18 · Nashikcell 4870010742

distance 0.202 · 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":497,"cluster_id":4970002078}}}'

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.