ABM-2021

Agent-based Modelling Project

install packages:

pip install -r requirements.txt

To run the model:

1. go to the folder sugarscape
2. open main.py
3. run the script (you can specify the specific parameters first if you'd like)

• the output of the model will be saved as a csv file in the folder sugarscape/data
• the output is a dataframe with the steps taken and the agents sugar levels and position
• other parameters are saved in the columns as well

To visualize the model:

1. go to the folder sugarscape
2. open model_viz.py
3. run the script (you can specify the specific parameters first if you'd like)

• a browser will be opened with the visualization

To run the sensitivity analysis:

sugarscape/sensitivity_analysis.ipynb

To run the experiments:

sugarscape/run_experiments.ipynb

To analyze the data:

sugarscape/data_analysis.ipynb

To create Amsterdam map from CBS data:

WealthaDATA/parseCBSdata.ipynb

Packages used with python 3.8.5:

• Mesa 0.8.8, model created with Mesa
• Scipy.stats 1.5.2, check two-way ANOVA assumptions1
• Bootstrapped 0.0.2, perform bootstrap method
• Seaborn 0.11.0, create plots
• IneqPy 0.0.2, calculate Gini-coefficient
• Pandas 1.1.0, experiment data is saved in pandas’ dataframes
• Numpy 1.19.0
• SALib 1.3.12, sensitivity analysis
• Rijksdriehoek 0.0.1, Converts WGS’84 to Rijksdriehoek coordinates
• Simpledbf 1.2.6, Convert Amsterdam data from CBS
• Scikit-image 0.17.2, Resize Amsterdam map