Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006222
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.225
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006221
distance 0.225
#2 · Kolhapurcell 4800005975
distance 0.294
#3 · Kolhapurcell 4800005976
distance 0.313
#4 · Ratnagiricell 4920002208
distance 0.315 · cross-district
#5 · Kolhapurcell 4800006263
distance 0.316
#6 · Kolhapurcell 4800005926
distance 0.317
#7 · Kolhapurcell 4800005858
distance 0.325
#8 · Kolhapurcell 4800005925
distance 0.328
#9 · Ratnagiricell 4920002199
distance 0.333 · cross-district
#10 · Kolhapurcell 4800005491
distance 0.333
#11 · Kolhapurcell 4800005862
distance 0.334
#12 · Ratnagiricell 4920002201
distance 0.339 · cross-district
#13 · Kolhapurcell 4800005924
distance 0.353
#14 · Ratnagiricell 4920002206
distance 0.353 · cross-district
#15 · Kolhapurcell 4800006168
distance 0.354
#16 · Kolhapurcell 4800006145
distance 0.355
#17 · Kolhapurcell 4800006068
distance 0.357
#18 · Kolhapurcell 4800006424
distance 0.358
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":4800006222}}}'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.