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fct-shiny

Shiny visualization interface

Interface sketchboard

Running the application with Docker on localhost

  1. Create and activate a virtual environment for docker-compose :
python3 -m venv py-docker
. py-docker/bin/activate
python -m pip install docker-compose
  1. Build Docker image with required R dependencies :
# in directory fct-shiny/docker
docker build .
  1. Create .env file next to docker-compose.yml :
QGS_USER=1000
QGS_SERVER_PORT=127.0.0.1:8010
QGS_DATA=/path/to/qgis/projects
FCT_DATA=/path/to/netcdf/data
APP_ROOT=/path/to/fct-shiny
  1. Run the application
docker-compose up

http://localhost:3838

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Shiny visualization interface

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