Bhārata Strata · Maharashtra · Ratnagiri · morphological twins
Places like cell 4920004270
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
44
morphology-v2 feature dimensions
Closest twin distance
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920004119
distance 0.196
#2 · Ratnagiricell 4920004025
distance 0.204
#3 · Ratnagiricell 4920005037
distance 0.249
#4 · Ratnagiricell 4920004169
distance 0.306
#5 · Ratnagiricell 4920003330
distance 0.307
#6 · Ratnagiricell 4920003613
distance 0.33
#7 · Ratnagiricell 4920005776
distance 0.339
#8 · Ratnagiricell 4920006628
distance 0.346
#9 · Ratnagiricell 4920004070
distance 0.354
#10 · Thanecell 4970002408
distance 0.361 · cross-district
#11 · Thanecell 4970002617
distance 0.366 · cross-district
#12 · Ratnagiricell 4920003793
distance 0.367
#13 · Ratnagiricell 4920003181
distance 0.369
#14 · Ratnagiricell 4920004633
distance 0.372
#15 · Ratnagiricell 4920003127
distance 0.374
#16 · Raigadcell 4910000001
distance 0.376 · cross-district
#17 · Raigadcell 4910000426
distance 0.377 · cross-district
#18 · Ratnagiricell 4920002896
distance 0.378
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":4920004270}}}'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.