Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003131
The MH-36 locality cells most similar to this Bhandara 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
18
across 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.213
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003613
distance 0.213
#2 · Bhandaracell 4710003308
distance 0.215
#3 · Bhandaracell 4710003555
distance 0.262
#4 · Gondiacell 4760003266
distance 0.265 · cross-district
#5 · Bhandaracell 4710003050
distance 0.271
#6 · Bhandaracell 4710003353
distance 0.278
#7 · Nagpurcell 4840002938
distance 0.28 · cross-district
#8 · Bhandaracell 4710003354
distance 0.282
#9 · Bhandaracell 4710003556
distance 0.288
#10 · Bhandaracell 4710003091
distance 0.298
#11 · Gondiacell 4760000916
distance 0.299 · cross-district
#12 · Bhandaracell 4710002825
distance 0.3
#13 · Gondiacell 4760003343
distance 0.301 · cross-district
#14 · Nagpurcell 4840002847
distance 0.301 · cross-district
#15 · Bhandaracell 4710002912
distance 0.303
#16 · Bhandaracell 4710003307
distance 0.309
#17 · Bhandaracell 4710003611
distance 0.312
#18 · Bhandaracell 4710001478
distance 0.315
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":471,"cluster_id":4710003131}}}'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.