Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730009130
The MH-36 locality cells most similar to this Chandrapur 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
0.056
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730008615
distance 0.056
#2 · Chandrapurcell 4730009198
distance 0.061
#3 · Chandrapurcell 4730008693
distance 0.069
#4 · Chandrapurcell 4730008990
distance 0.076
#5 · Chandrapurcell 4730008692
distance 0.077
#6 · Chandrapurcell 4730008845
distance 0.094
#7 · Chandrapurcell 4730007358
distance 0.095
#8 · Chandrapurcell 4730007356
distance 0.114
#9 · Chandrapurcell 4730008580
distance 0.12
#10 · Chandrapurcell 4730007469
distance 0.122
#11 · Chandrapurcell 4730008992
distance 0.123
#12 · Chandrapurcell 4730007470
distance 0.123
#13 · Chandrapurcell 4730007360
distance 0.125
#14 · Chandrapurcell 4730007259
distance 0.128
#15 · Chandrapurcell 4730007258
distance 0.129
#16 · Chandrapurcell 4730007585
distance 0.129
#17 · Gadchirolicell 4750010055
distance 0.131 · cross-district
#18 · Bhandaracell 4710000601
distance 0.133 · 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":473,"cluster_id":4730009130}}}'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.