portalcasting
Supporting automated forecasting of rodent populations through a set of containerized images.
The set of images is defined using a single Dockerfile with multi-stage build contexts to generate different types of the image.
There are currently three image types within the set:
The production and sandbox images have "production_
" or "sandbox_
" appended to the tag as a prefix.
The base image does not have a prefix.
None of the images are executable.
The image set is built using the Docker
GitHub Action for any push or pull request to main in the portalcasting
repository but is only pushed to Docker Hub upon creation of a published release.
Two copies of each the image type are pushed to Docker Hub:
The production pipeline uses the "latest" tag from the base image allowing for an update of the container used without requiring a code update.
This project is developed in active collaboration with DAPPER Stats.
The motivating study—the Portal Project—has been funded nearly continuously since 1977 by the National Science Foundation, most recently by DEB-1622425 to S. K. M. Ernest. Much of the computational work was supported by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through Grant GBMF4563 to E. P. White.
We thank Heather Bradley for logistical support, John Abatzoglou for assistance with climate forecasts, and James Brown for establishing the Portal Project.
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