Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660013014
The MH-36 locality cells most similar to this Ahmednagar 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660013341
distance 0.141
#2 · Ahmednagarcell 4660014204
distance 0.152
#3 · Ahmednagarcell 4660013848
distance 0.174
#4 · Ahmednagarcell 4660014258
distance 0.174
#5 · Ahmednagarcell 4660014343
distance 0.199
#6 · Ahmednagarcell 4660014246
distance 0.2
#7 · Ahmednagarcell 4660013496
distance 0.21
#8 · Nashikcell 4870003723
distance 0.211 · cross-district
#9 · Ahmednagarcell 4660013149
distance 0.214
#10 · Ahmednagarcell 4660014235
distance 0.215
#11 · Dhulecell 4740004378
distance 0.219 · cross-district
#12 · Ahmednagarcell 4660013483
distance 0.221
#13 · Ahmednagarcell 4660012893
distance 0.225
#14 · Ahmednagarcell 4660012924
distance 0.225
#15 · Ahmednagarcell 4660012899
distance 0.227
#16 · Akolacell 4670004659
distance 0.23 · cross-district
#17 · Ahmednagarcell 4660013140
distance 0.23
#18 · Ahmednagarcell 4660014106
distance 0.232
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":466,"cluster_id":4660013014}}}'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.