Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000000455
The MH-36 locality cells most similar to this Yavatmal 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
0.076
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000295
distance 0.076
#2 · Yavatmalcell 5000000292
distance 0.077
#3 · Yavatmalcell 5000000296
distance 0.078
#4 · Yavatmalcell 5000000510
distance 0.078
#5 · Yavatmalcell 5000000199
distance 0.079
#6 · Yavatmalcell 5000000287
distance 0.085
#7 · Yavatmalcell 5000000549
distance 0.085
#8 · Yavatmalcell 5000000294
distance 0.086
#9 · Yavatmalcell 5000000512
distance 0.087
#10 · Nandedcell 4850007639
distance 0.093 · cross-district
#11 · Yavatmalcell 5000000563
distance 0.093
#12 · Yavatmalcell 5000000401
distance 0.097
#13 · Nandedcell 4850007595
distance 0.097 · cross-district
#14 · Nandedcell 4850007536
distance 0.099 · cross-district
#15 · Nandedcell 4850007000
distance 0.099 · cross-district
#16 · Yavatmalcell 5000000289
distance 0.099
#17 · Nandedcell 4850007594
distance 0.1 · cross-district
#18 · Yavatmalcell 5000000080
distance 0.1
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":500,"cluster_id":5000000455}}}'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.