The PALs Portal is an evolving climate-health data science and training platform. It brings together research pipelines, exposure models, analytic workflows, data resources and learning materials into one accessible space. Use the portal to discover, learn, run and reuse climate-health tools emerging from our research — whether you are a researcher, trainee, data scientist, policymaker or decision-maker working to turn climate and environmental evidence into public health action.
An open platform for researchers to explore 35+ environmental exposure variables shaping the health of mothers and newborns across Sub-Saharan Africa. The reference inventory for climate-and-health analysis in the region — environmental data only, personal health information excluded.
An open geospatial catalogue mapping the environmental and social determinants of maternal health across three PRECISE sites (health outcome data included), with a built-in AI assistant to query the participant dataset directly — linking place to maternal outcomes.
Maps daily landscape-fire smoke (PM₂.₅) across Africa and links it to pregnancy risk — turning satellite fire and smoke signals into an exposure measure for maternal health. An openly available view of wildfire smoke and pregnancy at continental scale.
Africa-wide H3 hexagon map of road density from OpenStreetMap — a continent-scale proxy for traffic-related air-pollution exposure at ~5 km². An openly available layer of its kind for the whole continent.
Distance to the nearest highway and major road for every H3 cell in Africa, with population-weighted admin summaries — a ready proxy for traffic pollution and road access. Continent-wide and openly available.
Turns raw GPS tracks and wearable-sensor readings into personal, minute-by-minute environmental exposure — indoors vs outdoors, where and when. Makes individual exposure measurable in African epidemiology, not just modelled.
Generates satellite-derived exposure indicators — surface heat, NO₂, PM₂.₅, vegetation, built-up intensity and night-lights — for any study area lacking ground monitors. Puts exposure science within reach where no monitoring network exists.
AI-assisted geocoding and coordinate validation that turns messy facility and address records into research-ready locations. Built for the low-resource settings where reliable geocoding is otherwise out of reach.
Point-and-extract environmental data for any location and date — NDVI, land-surface temperature, rainfall, elevation, soil and more, delivered analysis-ready. Puts continental Earth-observation data one click from a coordinate list.
A geocoding registry built from our Zimbabwe fieldwork, turning addresses and facility records into research-ready coordinates. Documentation and open access are on the way.
Request a personal API token for programmatic access to the PALs Lab research database — authenticated queries against the PRECISE Big Table from the Hub, notebooks, or any HTTP client.
Fast in-process analytical access to the PRECISE Big Table via DuckDB. Receive a Python or R connection snippet ready for your PALSlab notebook — designed for large queries across ~3.2M records.
The shared analytical environment for the PALs Lab research group — Python and R kernels, pre-loaded libraries, shared data directories, and direct database connectivity for collaborative analysis.
A free, open-enrolment course on geospatial data science, satellite-derived environmental exposures, and AI-powered data querying — built around real Zimbabwe DHS 2015 birth records. ~3 hours, self-paced, across 6 browser-based notebooks, no local setup or prior GIS experience required.
How geography mediates health outcomes and disease patterns — from disaggregating health data in space to designing more precise, locally-tailored public health interventions. Built on PALs' own published research.
How GIS is used to quantify spatial access to care, measure disparities across populations, and support evidence-based health service planning.
Interested in collaborating, accessing data, or learning more about our research? Reach out to the Place Alert Labs team — we'll get back to you directly.