Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920003601
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.255
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920000869
distance 0.255
#2 · Ratnagiricell 4920003350
distance 0.261
#3 · Ratnagiricell 4920003351
distance 0.268
#4 · Raigadcell 4910002877
distance 0.283 · cross-district
#5 · Ratnagiricell 4920002338
distance 0.289
#6 · Ratnagiricell 4920002337
distance 0.293
#7 · Ratnagiricell 4920000851
distance 0.3
#8 · Ratnagiricell 4920000868
distance 0.304
#9 · Ratnagiricell 4920003963
distance 0.312
#10 · Ratnagiricell 4920000889
distance 0.313
#11 · Ratnagiricell 4920002834
distance 0.325
#12 · Ratnagiricell 4920001228
distance 0.326
#13 · Ratnagiricell 4920002826
distance 0.326
#14 · Raigadcell 4910002929
distance 0.33 · cross-district
#15 · Thanecell 4970003224
distance 0.334 · cross-district
#16 · Ratnagiricell 4920003007
distance 0.335
#17 · Palgharcell 6650000975
distance 0.336 · cross-district
#18 · Ratnagiricell 4920000364
distance 0.342
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":4920003601}}}'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.