Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710000310
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
44
morphology-v2 feature dimensions
Closest twin distance
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710000265
distance 0.072
#2 · Bhandaracell 4710000058
distance 0.082
#3 · Bhandaracell 4710000173
distance 0.084
#4 · Bhandaracell 4710000135
distance 0.089
#5 · Bhandaracell 4710000027
distance 0.09
#6 · Bhandaracell 4710000026
distance 0.098
#7 · Bhandaracell 4710000263
distance 0.1
#8 · Bhandaracell 4710000092
distance 0.104
#9 · Chandrapurcell 4730009692
distance 0.109 · cross-district
#10 · Bhandaracell 4710000178
distance 0.113
#11 · Bhandaracell 4710000091
distance 0.116
#12 · Bhandaracell 4710000266
distance 0.132
#13 · Chandrapurcell 4730009727
distance 0.134 · cross-district
#14 · Bhandaracell 4710000220
distance 0.14
#15 · Chandrapurcell 4730009743
distance 0.154 · cross-district
#16 · Bhandaracell 4710000216
distance 0.156
#17 · Chandrapurcell 4730009693
distance 0.159 · cross-district
#18 · Bhandaracell 4710000025
distance 0.179
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":4710000310}}}'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.