Natural Disaster Trends

This repository and the data and code it contains aims to analyze trends in natural disasters occurences and their impact, as well as their possible correlation with global warming. The analysis is primarly based on the Emergency Events Database (EM-DAT) created by the Centre for Research on the Epidemiology of Disasters (CRED).

The project addresses the following questions:

• How did the number of deaths per year from natural disasters change over the last years?
• How does this vary by country? How does this vary by type of natural disaster?
• Are there trends visible that could be due to Global Warming?

Setup

The project is embedded in a jupyter notebook with Python 3.8+. Before running it, install the required packages in ´requirements.txt´ first (preferably in a virtual environment).

Using pip on Windows:

py -3 -m pip install -r requirements.txt

Using pip on Un*x or MacOS:

python3 -m pip install -r requirements.txt

Using Conda:

conda install --yes --file requirements.txt

Running the code

Start Jupyter Notebook and open jupyter_notebooks/Full_analysis.ipynb to run the code yourself.

Folder Structure

• data/: Contains the different input datasets used in the analysis as well as the transformed output dataset emdat_transformed.csv
• jupyter_notebooks/: Contains the Jupyter notebook and other python files used for data processing and analysis.
• graphics/: Contains external copies from the visulizations inside jupyter_notebooks/Full_analysis.ipynb.

License

The files in this repository, precluding the contents of the contents of the data/ dircetory, are licensed under the GNU General Public License v3.0 (GNU GPLv3). You can find the full text of the license at https://www.gnu.org/licenses/gpl-3.0.en.html.

The dataset produced in this project, data/emdat_transformed.csv, is licensed under the Creative Commons Attribution-NonCommercial (CC BY-NC) license. This dataset is derived from the EM-DAT dataset, which does not allow for commercial use. You can find more information about the CC BY-NC license at https://creativecommons.org/licenses/by-nc/4.0/.

All other datasets or not owned by the owners of this repository and are subject to the licenses of the respective data owners.