Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860000607
The MH-36 locality cells most similar to this Nandurbar 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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.058
lower = more alike (weighted)
The twins, closest first
#1 · Nandurbarcell 4860000653
distance 0.058
#2 · Nandurbarcell 4860000608
distance 0.112
#3 · Nandurbarcell 4860000695
distance 0.116
#4 · Nandurbarcell 4860000822
distance 0.12
#5 · Nandurbarcell 4860000707
distance 0.131
#6 · Nandurbarcell 4860000560
distance 0.135
#7 · Nandurbarcell 4860000606
distance 0.135
#8 · Nandurbarcell 4860000651
distance 0.161
#9 · Nandurbarcell 4860000652
distance 0.161
#10 · Nandurbarcell 4860000565
distance 0.163
#11 · Dhulecell 4740006120
distance 0.164 · cross-district
#12 · Dhulecell 4740006151
distance 0.173 · cross-district
#13 · Nandurbarcell 4860000567
distance 0.173
#14 · Nandurbarcell 4860000706
distance 0.18
#15 · Nandurbarcell 4860000821
distance 0.18
#16 · Dhulecell 4740006123
distance 0.182 · cross-district
#17 · Nandurbarcell 4860000823
distance 0.185
#18 · Dhulecell 4740004337
distance 0.187 · 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":486,"cluster_id":4860000607}}}'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.