Documentation Hub

Quick Start

1.

Clone the repo / pull Docker image

2.

Browse SPACE-KG to select exposures

3.

Configure linkage (buffer radius, time-window)

4.

Export analysis ready dataset

What You Get

1.

Well-tested Python & R packages implementing spatial/temporal data-engineering and linkage algorithms

2.

REST / GraphQL APIs for integration with external apps

3.

Manual of Operations, tutorials, and example Jupyter notebooks generated with stakeholder input

4.

FAIR workflows and scripts for converting source data to harmonized SPACESCANS formats

Contributing

SPACESCANS is an open-source project. We welcome contributions from the community. We follow Agile + GitHub flow; issues & pull-requests welcome. Continuous integration enforces unit tests and style guidelines