ETHOS.zoomin: A spatial disaggregation workflow tool developed within the LOCALISED project.

A workflow tool that:

1. Pulls data from a database.
2. Disaggregates it based on proxy specifications present in the database.
3. Evaulates quality rating - based on quality of the data to be disaggregated, proxy data and the confidence in the assigned proxy.
4. Dumps the disaggregated data into the database.

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Installation steps

0. Before you begin:

Please make sure you have miniforge installed on your machine

Also create the initial database. Steps to create the Database will follow soon.

1. Clone this repository:

   git clone https://jugit.fz-juelich.de/iek-3/shared-code/localised/ETHOS.zoomin.git

2. Install dependencies and the repo in a clean conda environment:

   cd ETHOS.zoomin
   mamba env create --file=requirements.yml
   conda activate zoomin
   pip install -e .

3. Run the workflow from command line:

   bash run_deployment.sh

Project based on the cookiecutter data science project template. #cookiecutterdatascience