Extreme Heat Exposure in Korea

This project estimates the population potentially exposed to extreme heat across urban vs. non-urban areas in South Korea through 2100. Using raster climate projections (Heat Index) and gridded population/urbanization layers, I built an R workflow with terra and sf to align datasets via reprojection, resampling, and national boundary masking. I classified heat exposure into two intensity bins (30–42°C and ≥42°C) and applied binary masks to isolate exposed cells by settlement type. Exposed population was then calculated by multiplying each exposure mask by the population raster and aggregating totals for Current, 2040, 2070, and 2100. The final output is a publication-ready summary table that reports exposed populations by time period × heat bin × urbanization category, supporting scenario comparison and long-range risk communication. This workflow is designed to be transferable to other countries by swapping the boundary geometry and input raster paths while keeping the analytical structure intact.