Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009940
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.242
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870010333
distance 0.242
#2 · Nashikcell 4870010597
distance 0.255
#3 · Nashikcell 4870010202
distance 0.256
#4 · Nashikcell 4870009816
distance 0.309
#5 · Nashikcell 4870010201
distance 0.317
#6 · Nashikcell 4870009673
distance 0.33
#7 · Nashikcell 4870011700
distance 0.354
#8 · Nashikcell 4870009808
distance 0.354
#9 · Nashikcell 4870009543
distance 0.355
#10 · Jalgaoncell 4780000470
distance 0.382 · cross-district
#11 · Dhulecell 4740000980
distance 0.414 · cross-district
#12 · Dhulecell 4740005228
distance 0.419 · cross-district
#13 · Dhulecell 4740002989
distance 0.427 · cross-district
#14 · Wardhacell 4980002881
distance 0.429 · cross-district
#15 · Nashikcell 4870009680
distance 0.44
#16 · Nashikcell 4870010471
distance 0.444
#17 · Nandurbarcell 4860001776
distance 0.453 · cross-district
#18 · Dhulecell 4740002831
distance 0.456 · 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":4870009940}}}'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.