Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000001027
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000788
distance 0.151
#2 · Yavatmalcell 5000001032
distance 0.169
#3 · Yavatmalcell 5000000852
distance 0.196
#4 · Yavatmalcell 5000000729
distance 0.211
#5 · Yavatmalcell 5000001028
distance 0.216
#6 · Yavatmalcell 5000000916
distance 0.223
#7 · Nandedcell 4850008425
distance 0.23 · cross-district
#8 · Yavatmalcell 5000001736
distance 0.235
#9 · Yavatmalcell 5000000687
distance 0.239
#10 · Yavatmalcell 5000001098
distance 0.241
#11 · Yavatmalcell 5000000463
distance 0.242
#12 · Nandedcell 4850008381
distance 0.243 · cross-district
#13 · Yavatmalcell 5000001281
distance 0.243
#14 · Yavatmalcell 5000002008
distance 0.244
#15 · Nandedcell 4850006887
distance 0.249 · cross-district
#16 · Yavatmalcell 5000000968
distance 0.25
#17 · Hingolicell 4770001056
distance 0.251 · cross-district
#18 · Nandedcell 4850008632
distance 0.251 · 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":500,"cluster_id":5000001027}}}'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.