Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800002565
The MH-36 locality cells most similar to this Kolhapur 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.228
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005581
distance 0.228
#2 · Kolhapurcell 4800003556
distance 0.236
#3 · Kolhapurcell 4800003297
distance 0.247
#4 · Kolhapurcell 4800003504
distance 0.249
#5 · Kolhapurcell 4800005582
distance 0.251
#6 · Kolhapurcell 4800002659
distance 0.254
#7 · Ratnagiricell 4920001374
distance 0.261 · cross-district
#8 · Kolhapurcell 4800006238
distance 0.262
#9 · Kolhapurcell 4800002720
distance 0.264
#10 · Ratnagiricell 4920001108
distance 0.264 · cross-district
#11 · Kolhapurcell 4800005415
distance 0.277
#12 · Kolhapurcell 4800002665
distance 0.278
#13 · Kolhapurcell 4800002564
distance 0.279
#14 · Ratnagiricell 4920001904
distance 0.284 · cross-district
#15 · Kolhapurcell 4800002658
distance 0.284
#16 · Kolhapurcell 4800003435
distance 0.289
#17 · Kolhapurcell 4800003082
distance 0.292
#18 · Ratnagiricell 4920002826
distance 0.297 · 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":480,"cluster_id":4800002565}}}'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.