Code for the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020"
doi: 10.4121/dfe5f48a-b13c-441c-9d8a-345b89599093
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.
FORMAT
*.mkd;
*.ipynb;
*.txt;
*.csv
RECOMMENDED HARDWARE
1. Processor: Intel® Core™ i5-10210U CPU
2. RAM: 32GiB of RAM (DDR4)
3. GPU: Intel® UHD Graphics GPU
RECOMMENDED OPERATING SYSTEM
Ubuntu 21.10, 64-bit
REQUIRED VERSION OF PYTHON
3.9.7
REQUIRED LIBRARIES USED
see requirements.txt
EXTRA FILE
parameter.csv specifies some parameters used in the analysis.
SEQUENCE OF SCRIPTS
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
- 2023-10-06 first online, published, posted
DATA
- 50,303 bytesMD5:
c2b8cbf1cc9e3f7580f7df2237324e8aadjancency_matrix.ipynb - 12,365 bytesMD5:
f47006011d4b227cdb8ce05d4ffa0b07covariance_matrix.ipynb - 29,202 bytesMD5:
d9d1c0207da765894e26c7685f1c7124data_analytics.ipynb - 75,816 bytesMD5:
64fe72bdfcda1cccad994f2cfd35324ddemographics_preprocess.ipynb - 16,562 bytesMD5:
3e7e2d997b4ec12ef9c9502224678b51exposure.ipynb - 2,889 bytesMD5:
ec56f602a45a8e0f922d6bea80e82511extract_city_boundary.ipynb - 3,312 bytesMD5:
c85360c1dcc5d3ac040bc0c9fdf52994extract_street_network.ipynb - 23,894 bytesMD5:
aa66a240bbf0d70816170bf55cdd2605extract_zones_in_gemeente.ipynb - 19,633 bytesMD5:
188fab5b751a80c97743c28e1fc53a24indicators_city.ipynb - 4,513 bytesMD5:
605943dc73bf6938b1ff551d41c13633mean_var_city_Bernoulli.ipynb - 137 bytesMD5:
a2f39fabee763e60679fbfaa99989e7aparameter.csv - 24,584 bytesMD5:
dc665c0ba0ee1ad1c7c0ac0041ba2535regionalization.ipynb - 1,182 bytesMD5:
7aea036faee44df6417185abf4517b14requirements.txt - 16,334 bytesMD5:
aa25990de85b376c1ed48987c5971d02shortest_paths.ipynb -
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