Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003057
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002479
distance 0.179
#2 · Thanecell 4970002407
distance 0.182
#3 · Thanecell 4970002856
distance 0.248
#4 · Thanecell 4970002186
distance 0.254
#5 · Thanecell 4970002857
distance 0.268
#6 · Thanecell 4970002740
distance 0.275
#7 · Thanecell 4970002550
distance 0.279
#8 · Thanecell 4970002855
distance 0.283
#9 · Thanecell 4970002962
distance 0.296
#10 · Thanecell 4970003010
distance 0.3
#11 · Nashikcell 4870000094
distance 0.3 · cross-district
#12 · Nashikcell 4870000394
distance 0.302 · cross-district
#13 · Ahmednagarcell 4660010311
distance 0.302 · cross-district
#14 · Thanecell 4970002910
distance 0.305
#15 · Ratnagiricell 4920003233
distance 0.305 · cross-district
#16 · Nandurbarcell 4860003705
distance 0.309 · cross-district
#17 · Nandurbarcell 4860003702
distance 0.31 · cross-district
#18 · Nashikcell 4870000071
distance 0.31 · 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":4970003057}}}'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.