Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870010835
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870010184
distance 0.167
#2 · Nashikcell 4870011209
distance 0.186
#3 · Nashikcell 4870011087
distance 0.2
#4 · Nashikcell 4870011919
distance 0.203
#5 · Nashikcell 4870011689
distance 0.213
#6 · Nashikcell 4870012142
distance 0.213
#7 · Nashikcell 4870012036
distance 0.22
#8 · Nashikcell 4870012041
distance 0.225
#9 · Nashikcell 4870010708
distance 0.228
#10 · Dhulecell 4740000101
distance 0.231 · cross-district
#11 · Dhulecell 4740002733
distance 0.232 · cross-district
#12 · Dhulecell 4740000356
distance 0.233 · cross-district
#13 · Nashikcell 4870012818
distance 0.234
#14 · Dhulecell 4740000281
distance 0.237 · cross-district
#15 · Ahmednagarcell 4660014087
distance 0.237 · cross-district
#16 · Nashikcell 4870012333
distance 0.239
#17 · Nashikcell 4870011702
distance 0.239
#18 · Gadchirolicell 4750002330
distance 0.243 · 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":4870010835}}}'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.