Authors:

• Simon Fehrenbach
• Christian Jestädt
• Marten Kreis
• Josef Müller

Make sure you have the following requirements are satisfied before you start:

• LaTeX compiler, e.g., pdflatex
• python version 3 and pip
• virtualenv

If python is already installed, check if its version is Python 3.1x.x

python --version

This project uses a virtual environment to avoid the pollution of the host python system. Follow the steps to activate the virtual environment and install the necessary requirements.

Create the virtual environment:

python3 -m venv .venv

You should see a new directory called .venv. This contains python, pip and libraries.

Activate the virtual environment:

source .venv/bin/activate

Install the required packages:

pip install -r requirements.txt

Important:

Make sure that your IDE uses the virtual environment too. In PyCharm, for example, you can set the Python interpreter in Settings > Project > Project Interpreter. The interpreter for the virtual environment is located in .venv/bin/python.

If you don't need the environment anymore, you can deactivate it:

deactivate

Before compiling, please make sure that the requirements above are satisfied and the required $\LaTeX$-packages in doc/paper.tex are installed. If not, it might still compile, but may have missing elements.

To compile the paper.tex file in doc you call ./compile-paper.py. Make sure that the python environment is set up the way it's specified above.

./compile-paper.py

Why? Because water availability is likely linked to rainfall.

Find some literature that shows that this is true. We don't have to look at total exploitable water resources since we know that rain might be one of the biggest exploitable water resources

1. Plot spatial data as global plot: Notebook -> Rainfall did not decline, but its distribution changed over time

2. Identify regions where the precipitation is low -> these are regions that are likely to be affected by water scarcity

Plot which water management strategies are used globally Notebook -> look at all water management strategies for each country and plot the proportion of the strategy

Compare countries which are mostly affected by water scarcity to the global trend

1. Null hypothesis: "There is no difference in water management strategies between countries affected by water scarcity and the global trend."
2. Regression: Water Scarcity as Input -> Water Treatment as Output Is there a degree of regression?: -> "The higher the Scarcity, the higher the Water Treatment."
3. ANOVA for categorizing and comparing regional water management strategies.