Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003434
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003387
distance 0.129
#2 · Bhandaracell 4710003567
distance 0.163
#3 · Bhandaracell 4710002263
distance 0.182
#4 · Nagpurcell 4840005002
distance 0.185 · cross-district
#5 · Bhandaracell 4710002158
distance 0.189
#6 · Bhandaracell 4710001881
distance 0.196
#7 · Bhandaracell 4710001939
distance 0.199
#8 · Nagpurcell 4840005769
distance 0.204 · cross-district
#9 · Bhandaracell 4710002105
distance 0.206
#10 · Bhandaracell 4710001658
distance 0.21
#11 · Bhandaracell 4710002673
distance 0.212
#12 · Bhandaracell 4710002165
distance 0.213
#13 · Bhandaracell 4710002213
distance 0.218
#14 · Nagpurcell 4840003903
distance 0.222 · cross-district
#15 · Bhandaracell 4710002789
distance 0.223
#16 · Bhandaracell 4710003432
distance 0.224
#17 · Nagpurcell 4840006510
distance 0.235 · cross-district
#18 · Gondiacell 4760001149
distance 0.237 · 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":4710003434}}}'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.