Gerardo EzequielSpatial intelligence for cities
CV
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Research · Completed course project

Lekkere Stad: mapping Amsterdam

AmsterdamEurope with Amsterdam marked at the map’s saved centre. This locates the course project, not its sensing coverage.

A map I made as a student at the 2023 MIT Senseable City Lab summer school with AMS Institute, setting air-quality readings beside Amsterdam’s buildings and street observations.

What existsA public interactive CARTO map made from the course datasets.

Explore the map (opens in a new tab)Summer-school context (opens in a new tab)
My role
Student and map author
Period
2023
Status
Completed course project
Focus
Amsterdam
Lekkere Stad’s Amsterdam map, showing buildings and routes coloured by ultrafine-particle readings, with its layer controls.
Amsterdam’s buildings, with routes coloured by ultrafine-particle readings; the layer list is on the left. Lekkere Stad, Amsterdam, 2023. Summer-school map: Gerardo Ezequiel Martín Carreño, using course datasets. Basemap: CARTO and OpenStreetMap contributors. Screenshot: 11 October 2026.View full image (PNG, 1.0 MB) (opens in a new tab)

The question

How can environmental readings collected along city streets be explored alongside buildings and observations of everyday street life?

My contribution

During the 2023 MIT Senseable City Lab summer school with AMS Institute in Amsterdam, I attended as a student for three days and created Lekkere Stad, an interactive CARTO map using course datasets.

What exists

  • A public map titled MIT Summerschool, Senseable Amsterdam Lab, Lekkere Stad, created in August 2023.
  • An Amsterdam building layer alongside computer-vision street observations.
  • Environmental layers for ultrafine particles, black carbon and nitrogen dioxide, plus an optional Green View Index layer.
  • Layer controls and widgets for exploring the course datasets.

Where the work stands

This is a summer-school exercise using course and third-party datasets. The map does not establish sensor calibration, city-wide exposure or causal relationships between street features and air quality. Its widgets are dataset summaries, not verified counts of distinct people, bicycles or buildings.

Explore the work