Bhārata Strata · Maharashtra · Nagpur · morphological twins

Places like cell 4840007913

The MH-36 locality cells most similar to this Nagpur 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

0.067

lower = more alike (weighted)

The twins, closest first

#1 · Nagpurcell 4840008280

distance 0.067

#2 · Nagpurcell 4840008159

distance 0.069

#3 · Nagpurcell 4840008048

distance 0.082

#4 · Nagpurcell 4840008277

distance 0.105

#5 · Nagpurcell 4840007861

distance 0.108

#6 · Nagpurcell 4840007791

distance 0.108

#7 · Nagpurcell 4840008279

distance 0.109

#8 · Nagpurcell 4840007862

distance 0.113

#9 · Nagpurcell 4840008096

distance 0.116

#10 · Nagpurcell 4840007912

distance 0.118

#11 · Nagpurcell 4840007429

distance 0.119

#12 · Nagpurcell 4840008222

distance 0.119

#13 · Nagpurcell 4840007985

distance 0.122

#14 · Nagpurcell 4840007615

distance 0.126

#15 · Nagpurcell 4840007331

distance 0.127

#16 · Nagpurcell 4840008294

distance 0.127

#17 · Nagpurcell 4840008035

distance 0.128

#18 · Nagpurcell 4840007735

distance 0.128

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":484,"cluster_id":4840007913}}}'

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.