Code for the paper "Characterizing residential segregation in cities using intensity, separation, and scale indicators"

This code is used for computing the results of the paper "Characterizing residential segregation in cities using intensity, separation, and scale indicators". <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/10.4121/19597258) 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: <br> 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. correlation_matrix.ipynb 8. exposure.ipynb 9. cluster_analysis.ipynb 10. descriptive_stats.ipynb 11. combine_zones_into_municipalities.ipynb