Data and Code

The <b><i>Philadelphia folder</i></b> contains the study area boundary, road network, and water area boundary used for map visualization.</p><p dir="ltr">The <b><i>Code</i></b><b><i> directory</i></b> contains the source code used in the study. The <b><i>proposed_method folder</i></b> provides the core implementation of the proposed framework, including the Global Statistical Indicator<b> </b>(<b><i>GSI</i></b>), <b><i>Geographically Weighted Global Statistical Indicator</i></b> (<b><i>GWGSI</i></b>), <b><i>Local Statistical Indicator</i></b> (<b><i>LSI</i></b>), and <b><i>Geographically Weighted Local Statistical Indicator </i></b>(<b><i>GWLSI</i></b>).

The <b><i>Synthetic folder</i></b> contains the Python implementations of the <b><i>GSI</i></b> and <b><i>co-location quotient</i></b> (<b><i>CLQ</i></b>) used in the synthetic experiments, together with the <b><i>MATLAB</i></b> script used to reproduce Figure 5. All Python implementations are provided as callable functions for reuse.</p><p dir="ltr">For reproducibility, two Jupyter notebooks are also included in <b><i>Code directory</i></b>: <b><i>Synthetic.ipynb</i></b> and <b><i>CaseStudy.ipynb</i></b>. <b><i>Synthetic.ipynb</i></b> provides the complete executable workflow for reproducing the synthetic experiments and the results reported in <b>Tables 1–3</b>. <b><i>CaseStudy.ipynb</i></b> provides the complete workflow for reproducing the case study based on the 2023 Philadelphia crime and urban facility POI data.

It reproduces the analyses and numerical results reported in <b>Tables 4–7</b> and generates the <b><i>GWLSI</i></b> results required to reproduce <b><i>Figures 6–8</i></b>.</p><p dir="ltr"><b>Note:</b> Users are recommended to read <b><i>Instruction.docx</i></b> before running the code. This document provides an overview of the repository structure, software requirements, and step-by-step instructions for reproducing the figures, tables, figures, and quantitative results reported in the manuscript.</p>