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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.

Installation steps

  1. Before you begin:

Please make sure you have mamba installed in your base environment bash conda install mamba -c conda-forge 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 -n zoomin --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