Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012200
The MH-36 locality cells most similar to this Nashik 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
43
morphology-v2 feature dimensions
Closest twin distance
0.234
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660009859
distance 0.234 · cross-district
#2 · Nashikcell 4870013413
distance 0.235
#3 · Nashikcell 4870007612
distance 0.237
#4 · Nashikcell 4870013064
distance 0.24
#5 · Nashikcell 4870013002
distance 0.244
#6 · Nashikcell 4870013220
distance 0.248
#7 · Nashikcell 4870006744
distance 0.264
#8 · Nashikcell 4870007186
distance 0.269
#9 · Nashikcell 4870011286
distance 0.271
#10 · Nashikcell 4870011782
distance 0.273
#11 · Sataracell 4940007176
distance 0.274 · cross-district
#12 · Sanglicell 4930001355
distance 0.275 · cross-district
#13 · Nashikcell 4870010281
distance 0.275
#14 · Nashikcell 4870010668
distance 0.276
#15 · Ahmednagarcell 4660010681
distance 0.277 · cross-district
#16 · Ahmednagarcell 4660013216
distance 0.278 · cross-district
#17 · Nashikcell 4870011888
distance 0.281
#18 · Kolhapurcell 4800005877
distance 0.282 · 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":487,"cluster_id":4870012200}}}'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.