Urban Heat Risk Mapping in New York City (2013-2023)

Multi-indicator urban heat risk mapping using GIS, Fuzzy AHP, and Landsat 8 satellite imagery.

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Table of Contents

• Overview
• Repository Contents
• Data Availability
• How to Reproduce
• Citation
• License

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Overview

This repository contains the computational code and models for the study "Urban Heat Risk Mapping in New York City Using GIS and Fuzzy AHP-Based Multi-Indicator Analysis", submitted to Computers, Environment and Urban Systems.

The analysis combines:

• Fuzzy AHP for multi-criteria indicator weight calculation
• QGIS Graphical Modeler for automated geospatial processing
• Landsat 8 Level-2 imagery for Land Surface Temperature (LST) and NDVI extraction
• Heat Risk Index (HRI) mapping across NYC boroughs (2013-2023)

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Repository Contents

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├── Code/
│   ├── fuzzy_ahp_weights.gms           # GAMS: Fuzzy AHP weight calculation
│   └── qgis_graphical_model_final.model3  # QGIS: Geospatial processing workflow
├── CITATION.cff
├── LICENSE
└── README.md

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Data Availability

Processed and Input Data

All raw input data (boundaries, population) and final processed datasets (annual HRI, LST, and NDVI rasters) are permanently archived on Zenodo:

Zenodo Repository: https://doi.org/10.5281/zenodo.17186482

Raw Landsat 8 Satellite Imagery

Raw Landsat 8 Level-2 imagery is freely available from the USGS Earth Explorer. Refer to Table 4 in the manuscript for specific acquisition dates.

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How to Reproduce

1. Indicator Weight Calculation (GAMS)

• Prerequisites: Working installation of GAMS.
• Run: Execute Code/fuzzy_ahp_weights.gms to replicate the weight calculation and consistency analysis.

2. HRI Map Generation (QGIS)

1. Download data from the Zenodo link above and raw Landsat 8 scenes from USGS Earth Explorer.
2. Open QGIS (version 3.16 or later).
3. Import the model: Processing > Graphical Modeler > Open Code/qgis_graphical_model_final.model3.
4. Run the model, providing paths to the downloaded data when prompted.

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Citation

If you use this code or data, please cite:

@software{vaezi2025nyc_heat,
  title  = {Urban Heat Risk Mapping in NYC Using GIS and Fuzzy AHP},
  author = {Vaezi, Ali},
  year   = {2025},
  url    = {https://github.com/aliivaezii/nyc-heat-risk-analysis},
  doi    = {10.5281/zenodo.17186482}
}

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License

This project is licensed under the MIT License. See LICENSE for details.