Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001180
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
43
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710002248
distance 0.135
#2 · Bhandaracell 4710001541
distance 0.137
#3 · Bhandaracell 4710002396
distance 0.138
#4 · Gondiacell 4760003045
distance 0.149 · cross-district
#5 · Bhandaracell 4710001111
distance 0.152
#6 · Bhandaracell 4710002220
distance 0.152
#7 · Bhandaracell 4710002346
distance 0.153
#8 · Bhandaracell 4710002088
distance 0.154
#9 · Gondiacell 4760003208
distance 0.16 · cross-district
#10 · Gondiacell 4760003044
distance 0.16 · cross-district
#11 · Bhandaracell 4710002275
distance 0.161
#12 · Gondiacell 4760002639
distance 0.163 · cross-district
#13 · Bhandaracell 4710002296
distance 0.163
#14 · Gondiacell 4760003130
distance 0.164 · cross-district
#15 · Bhandaracell 4710002270
distance 0.164
#16 · Bhandaracell 4710001699
distance 0.165
#17 · Bhandaracell 4710002271
distance 0.165
#18 · Bhandaracell 4710001203
distance 0.166
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":4710001180}}}'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.