Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730009249
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
0.92
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 4730009051
distance 0.093
#2 · Chandrapurcell 4730009372
distance 0.117
#3 · Chandrapurcell 4730008760
distance 0.124
#4 · Chandrapurcell 4730009376
distance 0.13
#5 · Chandrapurcell 4730008910
distance 0.149
#6 · Chandrapurcell 4730008206
distance 0.159
#7 · Chandrapurcell 4730007672
distance 0.162
#8 · Chandrapurcell 4730008978
distance 0.164
#9 · Chandrapurcell 4730007461
distance 0.165
#10 · Chandrapurcell 4730007457
distance 0.169
#11 · Chandrapurcell 4730009049
distance 0.169
#12 · Chandrapurcell 4730003286
distance 0.174
#13 · Bhandaracell 4710001026
distance 0.174 · cross-district
#14 · Chandrapurcell 4730008508
distance 0.175
#15 · Chandrapurcell 4730009378
distance 0.179
#16 · Chandrapurcell 4730006007
distance 0.181
#17 · Chandrapurcell 4730007460
distance 0.182
#18 · Gadchirolicell 4750008925
distance 0.182 · 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":4730009249}}}'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.