This code is used for computing the results of the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020".
This code identifies and characterizes residential segregation patterns from demographic data. It is applied in a Dutch case study. It is written in python, using notebooks.
This source code should be stored in a folder named code. The folder code and the folder data (see https://doi.org/10.4121/78ca3d23-2846-499d-8448-d0a1812bc378) should be located in the same directory.
*.mkd;
*.ipynb;
*.txt;
*.csv
1. Processor: Intel® Core™ i5-10210U CPU
2. RAM: 32GiB of RAM (DDR4)
3. GPU: Intel® UHD Graphics GPU
Ubuntu 21.10, 64-bit
3.9.7
see requirements.txt
parameter.csv specifies some parameters used in the analysis.
The scripts should be run in the following order:
1. demographics_preprocess.ipynb
2. extract_city_boundary.ipynb
3. extract_street_network.ipynb
4. extract_zones_in_gemeente.ipynb
5. shortest_path.ipynb
6. adjacency_matrix.ipynb
7. covariance_matrix.ipynb
8. mean_var_city_Bernoulli.ipynb
7. exposure.ipynb
8. regionalization.ipynb
9. indicators_city.ipynb
10. data_analytics.ipynb
%I 4TU.ResearchData