Use case · network planning
The next 10,000 fiber-ready cells.
For network planners. Score every MH-36 cluster on built density, building count, road length and population; penalise green cover. Same evidence the homepage demo queries. Same disagreement. Same trust.
§1 The buyer's question
“Which clusters should I trench next in Maharashtra, ranked by how dense they are, how well roads already serve them, and how many people will pay for capacity?”
§2 The cube columns it touches
scope : mh36
cube_fp : dcc1845460cbd47c…
weights : built_fraction +0.40
building_count +0.20
road_length_km +0.30
pop_density_per_km2 +0.20
ndvi_p50 -0.10
filter : lulc_class_primary IN (50) # built-up
min_witnesses ≥ 4
witnesses : Tier-C (GOB v3) · Overture v2 transportation · Tier-P WorldPop · R4 NDVI canonical§3 Worked example — live from the cube
Candidates scored
2,743
clusters passing filter
Districts in scope
35
MH-36 admins reached
Vector dim
19
7 numeric + 12-LULC
Top-K returned
10
ranked below
| # | Anchor | District | built | bldg # | road km | pop /km² | score |
|---|---|---|---|---|---|---|---|
| 1 | 483:4830000103 | Mumbai Suburban | 0.517 | 4,454 | 19.52 | 43,637.4 | 17.56 |
| 2 | 483:4830000063 | Mumbai Suburban | 0.436 | 4,808 | 26.83 | 44,364.6 | 17.54 |
| 3 | 497:4970001375 | Thane | 0.535 | 1,757 | 34.01 | 48,317.9 | 17.48 |
| 4 | 482:4820000024 | Mumbai | 0.503 | 2,385 | 43.91 | 38,982.4 | 17.45 |
| 5 | 497:4970000807 | Thane | 0.545 | 3,133 | 19.17 | 48,459.4 | 17.36 |
| 6 | 482:4820000072 | Mumbai | 0.400 | 5,655 | 27.04 | 37,150 | 16.91 |
| 7 | 482:4820000023 | Mumbai | 0.504 | 2,940 | 30.51 | 38,643.2 | 16.64 |
| 8 | 483:4830000347 | Mumbai Suburban | 0.380 | 3,508 | 32.73 | 46,560.3 | 16.41 |
| 9 | 497:4970000661 | Thane | 0.508 | 3,391 | 22.20 | 39,916.6 | 16.36 |
| 10 | 487:4870010712 | Nashik | 0.544 | 4,664 | 30.02 | 17,985.6 | 16.24 |
Top cell — full evidence record
Mumbai Suburban · 483:4830000103
lat 19.0950 · lon 72.8950
Built fraction
0.517
Building count
4454
Building height p50
5.23 m
Road length
19.52 km
Population density
43637 /km²
NDVI p50
0.143
Terrain elevation
27.2 m
§4 The workflow in Explorer
Step 2
Inspect any candidate
Click an anchor to load it in Inspect; see every column with presence flags and floor keys.
Step 3
Find twins for risk transfer
Use Find Twins to surface look-alike clusters in other MH-36 districts you can extend the plan to.
§5 Talk to us about a pilot
Bulk parquet · per-district scoring at p99 < 250 ms · custom feature sets including R20 cross-buildings.