Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001529
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
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001779
distance 0.067
#2 · Bhandaracell 4710001778
distance 0.081
#3 · Bhandaracell 4710001619
distance 0.112
#4 · Bhandaracell 4710001889
distance 0.13
#5 · Gondiacell 4760001043
distance 0.138 · cross-district
#6 · Bhandaracell 4710000848
distance 0.14
#7 · Bhandaracell 4710001159
distance 0.143
#8 · Gondiacell 4760001486
distance 0.149 · cross-district
#9 · Bhandaracell 4710001524
distance 0.15
#10 · Bhandaracell 4710001194
distance 0.151
#11 · Bhandaracell 4710001995
distance 0.152
#12 · Bhandaracell 4710001832
distance 0.157
#13 · Bhandaracell 4710001660
distance 0.163
#14 · Bhandaracell 4710000994
distance 0.172
#15 · Gondiacell 4760001237
distance 0.173 · cross-district
#16 · Gondiacell 4760000982
distance 0.175 · cross-district
#17 · Gondiacell 4760001190
distance 0.18 · cross-district
#18 · Bhandaracell 4710001564
distance 0.182
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":4710001529}}}'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.