📍 Geolocation & Population Intelligence

Finding Key Places with Location Data

Every demonstration record is tagged with GPS coordinates, then classified against satellite population grids and settlement data—so every site decision is backed by measurable geography, not guesswork.

GPS Locations
Regions Covered
Households Mapped
People in Dataset
Synthetic demonstration data Senegal pilot dataset
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Every Point Is Verified Geography

Each location in the dataset carries exact GPS coordinates and is classified against three independent scientific sources.

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Satellite Population Grids

GHSL SMOD built-up layers, Kontur 400m population hexagons and WorldPop 100m census-disaggregated rasters are cross-referenced for every coordinate—density figures down to ~100m resolution.

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Settlement Classification

Every point is labelled Urban, Peri-Urban or Rural using density thresholds calibrated to local settlement patterns. The reasoning behind each label is stored and auditable.

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Administrative Mapping

Full admin-region and district boundary layers let you aggregate any metric by geography—and drill from national overview down to a single settlement.

Three Independent Sources, One Classification

When the sources agree, confidence is high. When they disagree, the classification engine records which factors drove the final label.

GHSL SMOD

EU JRC · 1km grid

The scientific gold standard. Satellite-derived settlement layers classify urban centres, dense clusters and rural areas on a globally consistent methodology.

Kontur Population

400m hexagons

High-resolution population hexagons that capture small settlements the coarser global grids miss—key for peri-urban fringe detection.

WorldPop

100m pixels

Census data disaggregated to 100m cells. Used as the validation layer for population estimates in ambiguous locations.

OpenStreetMap

Basemap + boundaries

Base mapping plus official administrative boundaries for every region and district covered by the dataset.

The Numbers Behind the Map

Figures computed on load from the Senegal pilot dataset—locations, households, people and their distribution across geographies.

Synthetic demonstration data Senegal pilot dataset
Tracked Locations
Households Mapped
People in Tracked Households
Avg Household Size
Urban Share of Locations

Settlement Classification Split

Urban / Peri-Urban / Rural share of all tracked locations

Population Covered by Classification

People living in tracked households, grouped by settlement type

Mapped Locations by Region

Where the dataset concentrates, aggregated by administrative region

Coverage Growth Over Time

Cumulative mapped locations per quarter, based on recorded dates

Three Countries, One Method

The same satellite data sources and settlement classification run in every country. Each map opens directly—no signup, no setup.

Synthetic demonstration data

Explore the Data Yourself

Interactive map, regional drill-downs, district boundaries and pilot statistics.