Bhārata Strata · Maharashtra · Wardha · morphological twins

Places like cell 4980001997

The MH-36 locality cells most similar to this Wardha 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

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.108

lower = more alike (weighted)

The twins, closest first

#1 · Wardhacell 4980002089

distance 0.108

#2 · Wardhacell 4980000971

distance 0.152

#3 · Wardhacell 4980001539

distance 0.152

#4 · Wardhacell 4980002663

distance 0.166

#5 · Wardhacell 4980000195

distance 0.173

#6 · Wardhacell 4980001551

distance 0.177

#7 · Wardhacell 4980002338

distance 0.183

#8 · Wardhacell 4980001646

distance 0.189

#9 · Wardhacell 4980002008

distance 0.189

#10 · Wardhacell 4980001727

distance 0.192

#11 · Wardhacell 4980001256

distance 0.194

#12 · Wardhacell 4980000877

distance 0.194

#13 · Wardhacell 4980001734

distance 0.195

#14 · Wardhacell 4980002086

distance 0.195

#15 · Wardhacell 4980001430

distance 0.196

#16 · Wardhacell 4980001827

distance 0.199

#17 · Wardhacell 4980001826

distance 0.202

#18 · Wardhacell 4980001447

distance 0.203

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":498,"cluster_id":4980001997}}}'

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.