Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000000198
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
0.03
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000157
distance 0.03
#2 · Yavatmalcell 5000000250
distance 0.039
#3 · Yavatmalcell 5000000158
distance 0.041
#4 · Yavatmalcell 5000000196
distance 0.051
#5 · Yavatmalcell 5000000195
distance 0.055
#6 · Nandedcell 4850006908
distance 0.059 · cross-district
#7 · Nandedcell 4850007542
distance 0.061 · cross-district
#8 · Yavatmalcell 5000000061
distance 0.064
#9 · Yavatmalcell 5000000159
distance 0.064
#10 · Yavatmalcell 5000000401
distance 0.065
#11 · Nandedcell 4850006904
distance 0.066 · cross-district
#12 · Yavatmalcell 5000000299
distance 0.067
#13 · Yavatmalcell 5000000549
distance 0.068
#14 · Yavatmalcell 5000000167
distance 0.069
#15 · Yavatmalcell 5000000441
distance 0.07
#16 · Nandedcell 4850007643
distance 0.07 · cross-district
#17 · Nandedcell 4850007061
distance 0.073 · cross-district
#18 · Yavatmalcell 5000000605
distance 0.074
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":5000000198}}}'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.