Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920005083
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920005256
distance 0.129
#2 · Ratnagiricell 4920005026
distance 0.153
#3 · Ratnagiricell 4920005197
distance 0.163
#4 · Ratnagiricell 4920004792
distance 0.198
#5 · Ratnagiricell 4920003073
distance 0.23
#6 · Ratnagiricell 4920004965
distance 0.232
#7 · Ratnagiricell 4920004574
distance 0.234
#8 · Ratnagiricell 4920004472
distance 0.241
#9 · Ratnagiricell 4920004850
distance 0.243
#10 · Ratnagiricell 4920004626
distance 0.244
#11 · Nashikcell 4870006236
distance 0.245 · cross-district
#12 · Ratnagiricell 4920005317
distance 0.25
#13 · Ratnagiricell 4920004423
distance 0.25
#14 · Ratnagiricell 4920004735
distance 0.253
#15 · Ratnagiricell 4920005139
distance 0.255
#16 · Nashikcell 4870005361
distance 0.256 · cross-district
#17 · Nashikcell 4870006087
distance 0.256 · cross-district
#18 · Raigadcell 4910000340
distance 0.261 · 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":4920005083}}}'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.