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Code for the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020"

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DataCite Commons2023-10-06 更新2024-07-03 收录
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https://data.4tu.nl/datasets/dfe5f48a-b13c-441c-9d8a-345b89599093
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资源简介:
This code is used for computing the results of the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020". <br>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.<br>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.<br>FORMAT*.mkd;*.ipynb;*.txt;*.csv<br>RECOMMENDED HARDWARE1. Processor: Intel® Core™ i5-10210U CPU2. RAM: 32GiB of RAM (DDR4)3. GPU: Intel® UHD Graphics GPU<br>RECOMMENDED OPERATING SYSTEMUbuntu 21.10, 64-bit<br>REQUIRED VERSION OF PYTHON3.9.7<br>REQUIRED LIBRARIES USEDsee requirements.txt<br>EXTRA FILEparameter.csv specifies some parameters used in the analysis.<br>SEQUENCE OF SCRIPTSThe scripts should be run in the following order:<br>1. demographics_preprocess.ipynb2. extract_city_boundary.ipynb3. extract_street_network.ipynb4. extract_zones_in_gemeente.ipynb5. shortest_path.ipynb6. adjacency_matrix.ipynb7. covariance_matrix.ipynb8. mean_var_city_Bernoulli.ipynb7. exposure.ipynb8. regionalization.ipynb9. indicators_city.ipynb10. data_analytics.ipynb
提供机构:
4TU.ResearchData
创建时间:
2023-10-06
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