Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001433
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.138
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001720
distance 0.138
#2 · Bhandaracell 4710001565
distance 0.15
#3 · Bhandaracell 4710001233
distance 0.154
#4 · Bhandaracell 4710001614
distance 0.157
#5 · Bhandaracell 4710001334
distance 0.165
#6 · Gondiacell 4760000925
distance 0.165 · cross-district
#7 · Bhandaracell 4710001888
distance 0.168
#8 · Bhandaracell 4710001237
distance 0.168
#9 · Bhandaracell 4710001477
distance 0.169
#10 · Gondiacell 4760001139
distance 0.17 · cross-district
#11 · Gondiacell 4760000507
distance 0.172 · cross-district
#12 · Bhandaracell 4710001434
distance 0.173
#13 · Bhandaracell 4710002111
distance 0.181
#14 · Bhandaracell 4710003420
distance 0.185
#15 · Gondiacell 4760001095
distance 0.196 · cross-district
#16 · Gondiacell 4760000927
distance 0.197 · cross-district
#17 · Bhandaracell 4710001026
distance 0.197
#18 · Bhandaracell 4710001272
distance 0.198
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":4710001433}}}'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.