Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750010666
The MH-36 locality cells most similar to this Gadchiroli 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
0.071
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750010596
distance 0.071
#2 · Gadchirolicell 4750010735
distance 0.103
#3 · Gadchirolicell 4750011047
distance 0.103
#4 · Gadchirolicell 4750010533
distance 0.107
#5 · Gadchirolicell 4750010866
distance 0.117
#6 · Gadchirolicell 4750010600
distance 0.129
#7 · Gadchirolicell 4750010469
distance 0.14
#8 · Gadchirolicell 4750010530
distance 0.146
#9 · Gadchirolicell 4750010734
distance 0.148
#10 · Gadchirolicell 4750011110
distance 0.154
#11 · Gadchirolicell 4750010831
distance 0.177
#12 · Chandrapurcell 4730008852
distance 0.18 · cross-district
#13 · Chandrapurcell 4730009509
distance 0.183 · cross-district
#14 · Gadchirolicell 4750010331
distance 0.184
#15 · Gadchirolicell 4750010800
distance 0.185
#16 · Gadchirolicell 4750010595
distance 0.187
#17 · Gadchirolicell 4750010461
distance 0.189
#18 · Gadchirolicell 4750010913
distance 0.19
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":475,"cluster_id":4750010666}}}'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.