Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710002909
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.223
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003452
distance 0.223
#2 · Nagpurcell 4840008318
distance 0.29 · cross-district
#3 · Bhandaracell 4710003397
distance 0.316
#4 · Bhandaracell 4710001226
distance 0.325
#5 · Bhandaracell 4710002750
distance 0.334
#6 · Bhandaracell 4710001325
distance 0.339
#7 · Bhandaracell 4710003426
distance 0.344
#8 · Bhandaracell 4710003595
distance 0.358
#9 · Bhandaracell 4710002723
distance 0.364
#10 · Gondiacell 4760001975
distance 0.376 · cross-district
#11 · Bhandaracell 4710000933
distance 0.377
#12 · Chandrapurcell 4730009318
distance 0.379 · cross-district
#13 · Bhandaracell 4710002099
distance 0.385
#14 · Bhandaracell 4710001580
distance 0.396
#15 · Bhandaracell 4710000746
distance 0.406
#16 · Bhandaracell 4710002694
distance 0.408
#17 · Bhandaracell 4710000895
distance 0.411
#18 · Amravaticell 4680007853
distance 0.414 · 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":471,"cluster_id":4710002909}}}'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.