Data science & engineering
Geospatial & Epidemiological Analytics
We apply GIS, remote sensing and spatial statistics to questions in public health, agriculture and ecology, delivering maps, models and reproducible workflows.
Who it is for
- Public-health programmes and researchers
- Agricultural and environmental organisations
- NGOs and foundations needing spatial evidence
What you send us
- Spatial and tabular dataLocations, boundaries, surveys, case counts or field data.
- QuestionsWhat decision the analysis should inform.
What you receive
- Maps and figures
- Analysis report
- Reproducible code
- Spatial data layers
Methodology
How the work runs
Each step is agreed with you and documented. Typical tools: QGIS · R (sf, spdep) · Python (GeoPandas, Rasterio) · Copernicus data
- ScopingQuestions, data, privacy constraints and outputs.
- Data preparationCleaning, projection, joining and satellite-data processing.
- AnalysisSpatial statistics, models and uncertainty.
- DeliveryMaps, report, reproducible code and a results call.
Quality controls
Checks applied to every project
- Projection and join checks
- Uncertainty mapped alongside estimates
- Privacy protection for personal locations
Scope and limits
What the work can and cannot show
- Availability is confirmed with each enquiry.
- Research use only: results are not a clinical or diagnostic report.
Free quote
Start a Geospatial project.
Describe your data and questions. We reply with questions or a written quote.
It depends on the data type, the number of samples and the depth of interpretation you need. Every project receives a written quote with scope, deliverables, price and delivery date after a short exchange about your data and questions. The quote is free and carries no obligation.
Data are used only for your project, transferred through a channel you approve and deleted at the end of the engagement on request. We will sign your institution’s confidentiality agreement before any data are shared.
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