Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920002010
The MH-36 locality cells most similar to this Ratnagiri 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.161
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920002011
distance 0.161
#2 · Ratnagiricell 4920002008
distance 0.2
#3 · Ratnagiricell 4920000920
distance 0.228
#4 · Ratnagiricell 4920000916
distance 0.275
#5 · Sindhudurgcell 4950002914
distance 0.288 · cross-district
#6 · Ratnagiricell 4920002385
distance 0.294
#7 · Ratnagiricell 4920001616
distance 0.304
#8 · Ratnagiricell 4920001162
distance 0.307
#9 · Ratnagiricell 4920002331
distance 0.308
#10 · Ratnagiricell 4920001022
distance 0.308
#11 · Ratnagiricell 4920002963
distance 0.308
#12 · Ratnagiricell 4920000361
distance 0.311
#13 · Ratnagiricell 4920003008
distance 0.313
#14 · Ratnagiricell 4920000249
distance 0.315
#15 · Sindhudurgcell 4950003964
distance 0.318 · cross-district
#16 · Ratnagiricell 4920002874
distance 0.319
#17 · Ratnagiricell 4920003966
distance 0.323
#18 · Palgharcell 6650001250
distance 0.326 · 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":492,"cluster_id":4920002010}}}'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.