Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003272
The MH-36 locality cells most similar to this Thane 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.185
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003373
distance 0.185
#2 · Thanecell 4970003270
distance 0.211
#3 · Thanecell 4970003229
distance 0.222
#4 · Thanecell 4970002604
distance 0.225
#5 · Thanecell 4970002770
distance 0.227
#6 · Thanecell 4970003178
distance 0.232
#7 · Thanecell 4970002892
distance 0.235
#8 · Ratnagiricell 4920003438
distance 0.238 · cross-district
#9 · Nashikcell 4870009705
distance 0.24 · cross-district
#10 · Ratnagiricell 4920003669
distance 0.243 · cross-district
#11 · Thanecell 4970002311
distance 0.243
#12 · Ratnagiricell 4920006655
distance 0.243 · cross-district
#13 · Nashikcell 4870011005
distance 0.244 · cross-district
#14 · Thanecell 4970003380
distance 0.245
#15 · Nashikcell 4870011379
distance 0.246 · cross-district
#16 · Thanecell 4970002248
distance 0.246
#17 · Thanecell 4970002605
distance 0.249
#18 · Nashikcell 4870008287
distance 0.25 · 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":497,"cluster_id":4970003272}}}'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.