%0 Generic
%A Spierenburg, Lucas
%A Cats, O. (Oded)
%A van Cranenburgh, Sander
%D 2023
%T Code for the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020"
%U 
%R 10.4121/dfe5f48a-b13c-441c-9d8a-345b89599093.v1
%K Regionalization
%K Multi-dimensional analysis
%K Spatial scale
%K Residential segregation
%K Spatial clustering
%X <p>This code is used for computing the results of the paper "Evolution of residential segregation patterns in the Netherlands between 2015 and 2020".&nbsp;</p><p></p><p>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.</p><p></p><p>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.</p><p></p><h4>FORMAT</h4><p>*.mkd;</p><p>*.ipynb;</p><p>*.txt;</p><p>*.csv</p><p></p><h4>RECOMMENDED HARDWARE</h4><p>1. Processor: Intel® Core™ i5-10210U CPU</p><p>2. RAM: 32GiB of RAM (DDR4)</p><p>3. GPU: Intel® UHD Graphics GPU</p><p></p><h4>RECOMMENDED OPERATING SYSTEM</h4><p>Ubuntu 21.10, 64-bit</p><p></p><h4>REQUIRED VERSION OF PYTHON</h4><p>3.9.7</p><p></p><h4>REQUIRED LIBRARIES USED</h4><p>see requirements.txt</p><p></p><h4>EXTRA FILE</h4><p>parameter.csv specifies some parameters used in the analysis.</p><p></p><h4>SEQUENCE OF SCRIPTS</h4><p>The scripts should be run in the following order:</p><p></p><p>1. demographics_preprocess.ipynb</p><p>2. extract_city_boundary.ipynb</p><p>3. extract_street_network.ipynb</p><p>4. extract_zones_in_gemeente.ipynb</p><p>5. shortest_path.ipynb</p><p>6. adjacency_matrix.ipynb</p><p>7. covariance_matrix.ipynb</p><p>8. mean_var_city_Bernoulli.ipynb</p><p>7. exposure.ipynb</p><p>8. regionalization.ipynb</p><p>9. indicators_city.ipynb</p><p>10. data_analytics.ipynb</p>
%I 4TU.ResearchData