Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730006563
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730006228
distance 0.151
#2 · Chandrapurcell 4730005985
distance 0.157
#3 · Chandrapurcell 4730006336
distance 0.163
#4 · Chandrapurcell 4730005556
distance 0.18
#5 · Chandrapurcell 4730006227
distance 0.184
#6 · Chandrapurcell 4730005547
distance 0.187
#7 · Chandrapurcell 4730005046
distance 0.188
#8 · Chandrapurcell 4730004920
distance 0.201
#9 · Chandrapurcell 4730006229
distance 0.203
#10 · Bhandaracell 4710000433
distance 0.207 · cross-district
#11 · Chandrapurcell 4730006343
distance 0.21
#12 · Chandrapurcell 4730002783
distance 0.212
#13 · Chandrapurcell 4730006219
distance 0.217
#14 · Chandrapurcell 4730002856
distance 0.217
#15 · Gadchirolicell 4750004592
distance 0.221 · cross-district
#16 · Chandrapurcell 4730005102
distance 0.225
#17 · Chandrapurcell 4730004825
distance 0.226
#18 · Chandrapurcell 4730004826
distance 0.229
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":4730006563}}}'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.