Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730005865
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.169
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730005545
distance 0.169
#2 · Chandrapurcell 4730005866
distance 0.182
#3 · Chandrapurcell 4730007005
distance 0.184
#4 · Chandrapurcell 4730006101
distance 0.189
#5 · Chandrapurcell 4730005552
distance 0.199
#6 · Chandrapurcell 4730007117
distance 0.21
#7 · Chandrapurcell 4730005759
distance 0.213
#8 · Gadchirolicell 4750010378
distance 0.215 · cross-district
#9 · Chandrapurcell 4730006692
distance 0.216
#10 · Chandrapurcell 4730007002
distance 0.225
#11 · Chandrapurcell 4730007102
distance 0.226
#12 · Chandrapurcell 4730008775
distance 0.227
#13 · Gadchirolicell 4750011046
distance 0.23 · cross-district
#14 · Chandrapurcell 4730006668
distance 0.232
#15 · Chandrapurcell 4730008926
distance 0.235
#16 · Chandrapurcell 4730000754
distance 0.237
#17 · Chandrapurcell 4730005651
distance 0.239
#18 · Chandrapurcell 4730006996
distance 0.24
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":4730005865}}}'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.