A stylized 3D population-density extrusion map showing national settlement patterns, urban density peaks, regional geography, and major population-center labels.

Data Storytelling

Population Map Studies

Cartographic data storytelling study using 3D extrusion maps to reveal population density, settlement patterns, and urban corridors.

Year

2026

Duration

Ongoing

Location

Basel, Basel-Stadt, Switzerland

Surfaces

Stack

Architecture

GCP

Mapping

deck.glGeoJSON3D extrusion layersCensus population dataWorldPop gridded population data

Code

ReactTypeScriptdeck.gl

OpenAI APICartographic QA assistantSpatial pattern summarization

Conceptual application work, created with the listed platforms and APIs and tested across the indicated surfaces.

Details

Built as a visual analytics and cartographic presentation study for showing population density as an immediate spatial story rather than a table or flat choropleth.

Uses 3D extrusion to reveal city-scale density peaks, regional settlement corridors, low-density interiors, and geographic concentration patterns.

Combines boundary-aware composition, terrain context, and major city labels so viewers can connect density forms with recognizable places.

Supports dark and light cartographic themes for editorial presentation, analytical review, and portfolio display contexts.

Designed to compare national and regional settlement patterns while preserving enough geographic context to avoid abstracting the map too far from reality.

Uses visual hierarchy to keep major population centers readable without overwhelming the extrusion surface.

Explores how cartographic styling, elevation, labels, and color can make demographic intensity understandable without requiring interaction.

Focused on data storytelling, geospatial design, and presentation-grade population visualization for audiences that need fast visual comprehension.

Serves as a reusable visual language for future comparative country studies, city density profiles, and regional demographic narratives.