Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920004859
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.241
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920005150
distance 0.241
#2 · Ratnagiricell 4920004155
distance 0.258
#3 · Ratnagiricell 4920004565
distance 0.262
#4 · Ratnagiricell 4920004480
distance 0.271
#5 · Ratnagiricell 4920003425
distance 0.282
#6 · Ratnagiricell 4920003568
distance 0.282
#7 · Raigadcell 4910001464
distance 0.283 · cross-district
#8 · Ratnagiricell 4920004563
distance 0.284
#9 · Ratnagiricell 4920004587
distance 0.289
#10 · Ratnagiricell 4920004667
distance 0.29
#11 · Raigadcell 4910001349
distance 0.291 · cross-district
#12 · Ratnagiricell 4920004546
distance 0.293
#13 · Ratnagiricell 4920005793
distance 0.295
#14 · Raigadcell 4910001407
distance 0.297 · cross-district
#15 · Ratnagiricell 4920004918
distance 0.297
#16 · Ratnagiricell 4920006824
distance 0.299
#17 · Raigadcell 4910001530
distance 0.3 · cross-district
#18 · Ratnagiricell 4920004470
distance 0.3
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":4920004859}}}'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.