Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001147
The MH-36 locality cells most similar to this Bhandara 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
44
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001113
distance 0.088
#2 · Bhandaracell 4710001183
distance 0.106
#3 · Bhandaracell 4710000834
distance 0.134
#4 · Bhandaracell 4710001184
distance 0.14
#5 · Bhandaracell 4710001701
distance 0.145
#6 · Bhandaracell 4710001117
distance 0.148
#7 · Bhandaracell 4710002564
distance 0.152
#8 · Bhandaracell 4710001042
distance 0.152
#9 · Bhandaracell 4710001952
distance 0.153
#10 · Bhandaracell 4710000822
distance 0.154
#11 · Gondiacell 4760003202
distance 0.154 · cross-district
#12 · Nagpurcell 4840001736
distance 0.157 · cross-district
#13 · Gondiacell 4760002971
distance 0.158 · cross-district
#14 · Gondiacell 4760001488
distance 0.164 · cross-district
#15 · Bhandaracell 4710001324
distance 0.164
#16 · Bhandaracell 4710001414
distance 0.167
#17 · Bhandaracell 4710001057
distance 0.167
#18 · Gondiacell 4760002949
distance 0.17 · 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":471,"cluster_id":4710001147}}}'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.