Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730005103
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
0.195
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730004813
distance 0.195
#2 · Chandrapurcell 4730003789
distance 0.211
#3 · Chandrapurcell 4730006286
distance 0.214
#4 · Chandrapurcell 4730003971
distance 0.215
#5 · Chandrapurcell 4730005935
distance 0.215
#6 · Chandrapurcell 4730004244
distance 0.217
#7 · Chandrapurcell 4730004265
distance 0.217
#8 · Chandrapurcell 4730003070
distance 0.217
#9 · Yavatmalcell 5000007150
distance 0.218 · cross-district
#10 · Chandrapurcell 4730004529
distance 0.222
#11 · Chandrapurcell 4730004261
distance 0.226
#12 · Chandrapurcell 4730003479
distance 0.227
#13 · Chandrapurcell 4730004356
distance 0.228
#14 · Chandrapurcell 4730003982
distance 0.232
#15 · Chandrapurcell 4730004433
distance 0.233
#16 · Chandrapurcell 4730001195
distance 0.234
#17 · Yavatmalcell 5000006368
distance 0.236 · cross-district
#18 · Chandrapurcell 4730004719
distance 0.237
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":4730005103}}}'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.