Bhārata Strata · Maharashtra · Nagpur · morphological twins

Places like cell 4840000892

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.053

lower = more alike (weighted)

The twins, closest first

#1 · Nagpurcell 4840000959

distance 0.053

#2 · Nagpurcell 4840000958

distance 0.067

#3 · Nagpurcell 4840000957

distance 0.068

#4 · Nagpurcell 4840001023

distance 0.075

#5 · Nagpurcell 4840001160

distance 0.089

#6 · Nagpurcell 4840000954

distance 0.097

#7 · Nagpurcell 4840001236

distance 0.104

#8 · Nagpurcell 4840000960

distance 0.111

#9 · Nagpurcell 4840001019

distance 0.117

#10 · Nagpurcell 4840000893

distance 0.117

#11 · Nagpurcell 4840000895

distance 0.118

#12 · Nagpurcell 4840001089

distance 0.123

#13 · Nagpurcell 4840001090

distance 0.124

#14 · Nagpurcell 4840001020

distance 0.126

#15 · Nagpurcell 4840001025

distance 0.131

#16 · Nagpurcell 4840001092

distance 0.133

#17 · Nagpurcell 4840000953

distance 0.134

#18 · Nagpurcell 4840000955

distance 0.137

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":4840000892}}}'

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.