Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730008740
The MH-36 locality cells most similar to this Chandrapur 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
0.085
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730008664
distance 0.085
#2 · Chandrapurcell 4730008587
distance 0.142
#3 · Chandrapurcell 4730008651
distance 0.163
#4 · Chandrapurcell 4730009658
distance 0.191
#5 · Chandrapurcell 4730008815
distance 0.207
#6 · Chandrapurcell 4730009552
distance 0.208
#7 · Chandrapurcell 4730009170
distance 0.213
#8 · Chandrapurcell 4730007576
distance 0.213
#9 · Chandrapurcell 4730009219
distance 0.219
#10 · Chandrapurcell 4730009092
distance 0.222
#11 · Chandrapurcell 4730009425
distance 0.222
#12 · Chandrapurcell 4730009371
distance 0.224
#13 · Chandrapurcell 4730007342
distance 0.224
#14 · Chandrapurcell 4730009553
distance 0.229
#15 · Chandrapurcell 4730009365
distance 0.232
#16 · Bhandaracell 4710001231
distance 0.233 · cross-district
#17 · Bhandaracell 4710001276
distance 0.236 · cross-district
#18 · Chandrapurcell 4730008805
distance 0.244
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":473,"cluster_id":4730008740}}}'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.