An interactive data visualization, analysis, and sharing application built using Shiny, Mapbox, and Google Earth Engine. Hosted on Google Cloud Run.
Built to highlight the Walker et al. 2022 global potential carbon dataset.
To build Docker image, make sure dev = F in app/app.R before running build.sh.
App currently runs on https://land-carbon-storage-app-v1-1069052289734.us-central1.run.app/.
Dockerfile developed interactively inside Docker Desktop terminal on MacOS using:
docker run --platform=linux/amd64 --rm -it rocker/geospatial:latest /bin/bash
Then to test run:
docker run --platform=linux/amd64 -d -p 8080:8080 "${REGION}-docker.pkg.dev/${PROJECT_ID}/${REPO_NAME}/${IMAGE_NAME}:${IMAGE_TAG}"
Helpful links:
- Main one - https://medium.com/@hdpoorna/deploying-an-r-shiny-dashboard-on-gcp-cloud-run-c1c32a076783
- https://github.com/srgorelik/rshiny-gcp-template
- r-spatial/rgee#284
- https://rocker-project.org/images/versioned/rstudio.html
- https://github.com/rocker-org/rocker-versioned2/wiki/geospatial_6345e63d82d0
- https://medium.com/@kakiang/mapping-a-cloud-run-service-to-a-custom-domain-9c9895037551