Bhārata Strata · Maharashtra · Nandurbar · morphological twins
Places like cell 4860001774
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
45
morphology-v2 feature dimensions
Closest twin distance
0.084
lower = more alike (weighted)
The twins, closest first
#1 · Nandurbarcell 4860001832
distance 0.084
#2 · Nandurbarcell 4860001773
distance 0.152
#3 · Nandurbarcell 4860001848
distance 0.165
#4 · Nandurbarcell 4860001729
distance 0.177
#5 · Nandurbarcell 4860002948
distance 0.195
#6 · Nandurbarcell 4860002026
distance 0.207
#7 · Nandurbarcell 4860001879
distance 0.208
#8 · Nandurbarcell 4860001535
distance 0.211
#9 · Dhulecell 4740005168
distance 0.218 · cross-district
#10 · Nandurbarcell 4860001536
distance 0.219
#11 · Dhulecell 4740004293
distance 0.224 · cross-district
#12 · Nandurbarcell 4860001830
distance 0.231
#13 · Dhulecell 4740004838
distance 0.234 · cross-district
#14 · Nandurbarcell 4860002004
distance 0.234
#15 · Dhulecell 4740004965
distance 0.234 · cross-district
#16 · Nandurbarcell 4860002954
distance 0.235
#17 · Nandurbarcell 4860001964
distance 0.236
#18 · Nandurbarcell 4860001876
distance 0.237
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":4860001774}}}'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.