Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730002629
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
0.093
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730002369
distance 0.093
#2 · Chandrapurcell 4730002565
distance 0.116
#3 · Chandrapurcell 4730002620
distance 0.134
#4 · Chandrapurcell 4730002435
distance 0.134
#5 · Chandrapurcell 4730002965
distance 0.136
#6 · Chandrapurcell 4730002967
distance 0.137
#7 · Chandrapurcell 4730002015
distance 0.146
#8 · Chandrapurcell 4730002966
distance 0.149
#9 · Chandrapurcell 4730002556
distance 0.159
#10 · Yavatmalcell 5000002758
distance 0.161 · cross-district
#11 · Chandrapurcell 4730002894
distance 0.164
#12 · Chandrapurcell 4730002493
distance 0.168
#13 · Yavatmalcell 5000002613
distance 0.171 · cross-district
#14 · Chandrapurcell 4730001934
distance 0.172
#15 · Chandrapurcell 4730002626
distance 0.174
#16 · Chandrapurcell 4730002621
distance 0.175
#17 · Chandrapurcell 4730001853
distance 0.176
#18 · Chandrapurcell 4730003444
distance 0.178
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":4730002629}}}'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.