Multi-country switching
Flip between Senegal, Mali and Cambodia in one click. Each country carries its own dataset, administrative boundaries, neighbours overlay and localised labels.
Product Showcase & Documentation
One dashboard for clean-cooking programmes across three countries
The Operations Dashboard tracks stove installations, revenue, CO₂ impact and household usage in Senegal, Mali and Cambodia. Every location is GPS-stamped and classified against the UN's DEGURBA urbanisation standard.
At a glance
Built for measurable impact
3
Countries · 🇸🇳 🇲🇱 🇰🇭
100%
Installations GPS-located
3-tier
Classification cascade
DEGURBA
UN-standard aligned
Features
What the dashboard does
A zero-dependency static app: open it in any browser, no server-side stack to run.
Instant impact metrics
Active stoves, total revenue, tonnes of CO₂ saved and customer counts recompute instantly, with per-column visibility toggles for price and carbon.
Interactive mapping
Leaflet map with four basemaps, marker clustering, density heat overlay, clickable admin regions and secondary-location displacement lines.
Customer registry
Searchable registry of every beneficiary with stove model, sale date, usage hours and status. Full JSON export/import for offline workflows.
Inactive stove records
Stoves that have gone quiet are surfaced automatically, ranked by region or district, so field teams know exactly where follow-up visits matter most.
Auditable classification
Every Urban / Peri-Urban / Rural label ships with its reasoning trail: which source decided, which thresholds applied, when it was classified.
Guided tour
Every page, one click away
The whole product ships as six interlinked pages. Click any card to jump straight into the interactive app.
Landing Page
Public mission statement, interactive map and impact headline numbers.
Admin Dashboard
KPI cards, classification doughnut, regional bar charts, inventory and settings.
Senegal Interactive Map
All installations clustered across 14 regions with density heatmap.
Mali Interactive Map
Mali coverage with Sahel-focused neighbour overlays.
Cambodia Interactive Map
Southeast Asia rollout, provinces and districts fully localised.
Data Sources Doc
Provenance for every dataset, plus pricing and methodology references.
Methodology
Classified the way statisticians do it
Location classification follows the UN's DEGURBA standard (Statistical Commission, March 2020) using a strict priority cascade. Never guesswork.
| Priority | Source | Resolution | Role |
|---|---|---|---|
| 1 · Primary | GHSL SMOD (EU JRC) | 1 km grid | Pre-computed DEGURBA classification with cluster analysis already applied |
| 2 · Fallback | Kontur Population | H3 Res 8 (~0.74 km²) | Population density per hexagon when SMOD is unavailable |
| 3 · Last resort | WorldPop | 100 m grid | UN-adjusted population counts for validation |
| Our term | DEGURBA official term | Density threshold | Cluster population |
|---|---|---|---|
| Urban | Urban Centre | ≥ 1,500 people/km² | ≥ 50,000 |
| Peri-Urban | Towns & Semi-dense Areas | ≥ 300 people/km² | ≥ 5,000 |
| Rural | Rural Grid Cells | < 300 people/km² | N/A |
Full technical detail (SMOD code mappings, H3 hexagon geometry, compliance statement and references) in the methodology.
Data
Where the data comes from
All geographic datasets are openly licensed; customer records in this showcase are synthetic demonstration data.
| Dataset | Provider | Purpose |
|---|---|---|
| Administrative Boundaries | HDX · OCHA COD-AB | Official region / district / commune borders for all three countries |
| Population Density | Kontur Population (HDX) | H3-hexagon population estimates driving the fallback classifier |
| Settlement Model | GHSL SMOD · EU JRC | Primary urban/rural classification raster |
| Built-Up Surface | GHSL BUILT · EU JRC | Built-up fraction context layer |
| Population Grid | WorldPop | 100 m UN-adjusted validation grid |
| Customer Records | Synthetic (generated) | Demonstration registry with realistic patterns, no personal data |
Under the hood
Deliberately simple technology
Vanilla JavaScript · zero build step
Leaflet 1.9.4
Leaflet.markercluster
Chart.js 4
Font Awesome 6
Static JSON/JS data files
Python data-prep pipeline
XSS-hardened rendering
See it running right now
No signup, no install. The full dashboard runs entirely in your browser.
Open the Interactive Dashboard →