Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730003147
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
45
morphology-v2 feature dimensions
Closest twin distance
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730004013
distance 0.064
#2 · Chandrapurcell 4730004010
distance 0.099
#3 · Chandrapurcell 4730002945
distance 0.103
#4 · Chandrapurcell 4730004401
distance 0.114
#5 · Chandrapurcell 4730003662
distance 0.116
#6 · Chandrapurcell 4730004374
distance 0.116
#7 · Chandrapurcell 4730003658
distance 0.124
#8 · Chandrapurcell 4730003157
distance 0.125
#9 · Chandrapurcell 4730003583
distance 0.131
#10 · Chandrapurcell 4730003504
distance 0.139
#11 · Chandrapurcell 4730009317
distance 0.14
#12 · Chandrapurcell 4730003739
distance 0.158
#13 · Gadchirolicell 4750007592
distance 0.159 · cross-district
#14 · Chandrapurcell 4730004101
distance 0.159
#15 · Chandrapurcell 4730002943
distance 0.161
#16 · Chandrapurcell 4730007906
distance 0.162
#17 · Chandrapurcell 4730003508
distance 0.163
#18 · Yavatmalcell 5000006821
distance 0.163 · cross-district
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":4730003147}}}'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.