Geographic Information System (GIS)

The Geographic Information System (GIS) facility provides advanced processing and analysis of geospatial data to support research in global and urban health. This includes:

• Analysis of proximity and accessibility indicators (e.g. access to green and blue spaces)
• Assessment of individual exposure to environmental factors such as air pollution and noise
• Study of relationships between urban design, physical activity, and walkability

We have developed Python-based tools to analyse smartphone GPS data and to automatically geocode large volumes of addresses. Our infrastructure enables efficient processing and integration of large-scale datasets.

Services

• Management and processing of large volumes of data
• Analysis
  • Accessibility and mobility analysis
  • Environmental exposure assessment (e.g. air pollution, noise)
  • Built and natural environment characterisation
  • Smart City
• Geocoding (conversion of postal addresses into geographic coordinates for GIS integration)
• GIS training (from basic to advanced levels, including QGIS and GIS programming in R and Python)

Equipment

We work with open-source software, including PostgreSQL, PostGIS, Python and R.

This core facility is part of the CERCAGINYS platform.