Getting Started

Installation

1. Install Python version 3.10 or greater.

2. Install conda.

3. Install git.

4. Clone the repository:

   git clone https://github.com/DSSGxMunich/dssgx_land_sealing_dataset_analysis
   

5. Create a conda environment from the environment.yml file:

   conda create --name land-sealing-env
   

6. Activate the conda environment:

   conda activate land-sealing-env
   

7. Install the requirements:

   pip install -r requirements.txt
   

First Steps

1. Download the data.zip from the DSSGxMunich Huggingface .

1. 1. Unzip the data.zip file. Place the data folder in the repository root folder.

1. 2. A description of the data can be found in the Huggingface repository.

2. Run the exploratory data analysis notebooks, e.g. explorer.ipynb.

3. Run the execution pipeline notebooks, e.g. src/1_execution_pipeline.ipynb.