Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003472
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
44
morphology-v2 feature dimensions
Closest twin distance
0.094
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003473
distance 0.094
#2 · Bhandaracell 4710003391
distance 0.131
#3 · Bhandaracell 4710003510
distance 0.136
#4 · Bhandaracell 4710003435
distance 0.136
#5 · Bhandaracell 4710003478
distance 0.144
#6 · Bhandaracell 4710003512
distance 0.159
#7 · Nagpurcell 4840008140
distance 0.162 · cross-district
#8 · Bhandaracell 4710003393
distance 0.167
#9 · Bhandaracell 4710003474
distance 0.181
#10 · Bhandaracell 4710003543
distance 0.181
#11 · Bhandaracell 4710001205
distance 0.189
#12 · Gondiacell 4760000729
distance 0.191 · cross-district
#13 · Bhandaracell 4710001569
distance 0.192
#14 · Gondiacell 4760001192
distance 0.194 · cross-district
#15 · Bhandaracell 4710003431
distance 0.195
#16 · Bhandaracell 4710001249
distance 0.198
#17 · Gondiacell 4760000728
distance 0.2 · cross-district
#18 · Nagpurcell 4840005877
distance 0.203 · 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":4710003472}}}'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.