Bhārata Strata · Maharashtra · Nashik · morphological twins

Places like cell 4870006782

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 11 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.399

lower = more alike (weighted)

The twins, closest first

#1 · Nandedcell 4850000865

distance 0.399 · cross-district

#2 · Yavatmalcell 5000001119

distance 0.399 · cross-district

#3 · Dharashivcell 4880001739

distance 0.427 · cross-district

#4 · Sanglicell 4930006342

distance 0.429 · cross-district

#5 · Ahmednagarcell 4660012176

distance 0.432 · cross-district

#6 · Nandurbarcell 4860001724

distance 0.443 · cross-district

#7 · Kolhapurcell 4800003801

distance 0.457 · cross-district

#8 · Laturcell 4810005855

distance 0.457 · cross-district

#9 · Sanglicell 4930000821

distance 0.468 · cross-district

#10 · Jalgaoncell 4780005742

distance 0.468 · cross-district

#11 · Nandedcell 4850003047

distance 0.483 · cross-district

#12 · Nandedcell 4850002553

distance 0.483 · cross-district

#13 · Dhulecell 4740004984

distance 0.486 · cross-district

#14 · Dharashivcell 4880000696

distance 0.487 · cross-district

#15 · Kolhapurcell 4800005839

distance 0.488 · cross-district

#16 · Jalgaoncell 4780002541

distance 0.488 · cross-district

#17 · Buldhanacell 4720003037

distance 0.493 · cross-district

#18 · Kolhapurcell 4800004782

distance 0.493 · 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":487,"cluster_id":4870006782}}}'

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.