SoVI Algorithm and MATLAB Implementation Manual: Analysis Using Canada Census 2016 / 2021 Data

This repository presents a Social Vulnerability Index (SoVI) implementation for Canada, providing a practical guide and MATLAB-based workflow for assessing community-level social vulnerability to environmental hazards and disasters. The repository outlines the SoVI algorithm, data requirements, and key methodological considerations, enabling users to analyze and map spatial patterns of social vulnerability. The analysis uses data from the 2016 and 2021 Canadian Censuses to examine socioeconomic inequality at the Forward Sortation Area (FSA) level. A total of 1,626 FSAs common to both datasets are analyzed. This resource is intended for graduate students, researchers, and practitioners working in social vulnerability analysis, disaster risk reduction, and urban studies.