Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710002170
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
45
morphology-v2 feature dimensions
Closest twin distance
0.159
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001225
distance 0.159
#2 · Bhandaracell 4710002169
distance 0.168
#3 · Bhandaracell 4710001050
distance 0.201
#4 · Gondiacell 4760001860
distance 0.204 · cross-district
#5 · Bhandaracell 4710001327
distance 0.205
#6 · Nagpurcell 4840002760
distance 0.222 · cross-district
#7 · Bhandaracell 4710002991
distance 0.239
#8 · Gondiacell 4760003046
distance 0.239 · cross-district
#9 · Bhandaracell 4710001542
distance 0.245
#10 · Nagpurcell 4840007450
distance 0.246 · cross-district
#11 · Gondiacell 4760002873
distance 0.25 · cross-district
#12 · Bhandaracell 4710001472
distance 0.251
#13 · Bhandaracell 4710003255
distance 0.256
#14 · Bhandaracell 4710001289
distance 0.26
#15 · Bhandaracell 4710001378
distance 0.26
#16 · Bhandaracell 4710001248
distance 0.261
#17 · Bhandaracell 4710002311
distance 0.264
#18 · Bhandaracell 4710001760
distance 0.267
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":4710002170}}}'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.