Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710003557
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.198
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710003409
distance 0.198
#2 · Nagpurcell 4840003040
distance 0.202 · cross-district
#3 · Bhandaracell 4710003554
distance 0.237
#4 · Bhandaracell 4710003614
distance 0.238
#5 · Bhandaracell 4710002951
distance 0.263
#6 · Bhandaracell 4710003049
distance 0.265
#7 · Bhandaracell 4710002883
distance 0.27
#8 · Bhandaracell 4710002942
distance 0.27
#9 · Bhandaracell 4710002916
distance 0.27
#10 · Gondiacell 4760003418
distance 0.271 · cross-district
#11 · Bhandaracell 4710003578
distance 0.275
#12 · Bhandaracell 4710002888
distance 0.283
#13 · Bhandaracell 4710001902
distance 0.283
#14 · Gondiacell 4760003492
distance 0.284 · cross-district
#15 · Bhandaracell 4710003491
distance 0.285
#16 · Bhandaracell 4710003180
distance 0.293
#17 · Amravaticell 4680009211
distance 0.297 · cross-district
#18 · Nagpurcell 4840003703
distance 0.297 · 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":4710003557}}}'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.