Thermal-risk intervention priority (Earth 2026)
Vulnerability & census
Planning screen combining high heat risk index with strong local demographic sensitivity. Use this to see who lives in hotter areas and where social sensitivity is highest.

What it shows
Critical hotspot (high heat risk index + high β_DSI), climate hotspot, demographic-sensitive, or stable. Planning screen combining high heat risk index with demographic sensitivity.
Data sources
heat risk index 2024 + local regression β_DSI quartile thresholds (Earth 2026 Fig. 7 analogue).
How it was prepared
Map adaptation of the cited study — same neighbourhood unit and index structure, not the full 2001–2024 longitudinal analysis. Only Census 2021 is available in this project (no 2001 census neighbourhood tables). Paper (Fig. 7): median split on ΔHRPI × β_DSI. Here: upper quartiles on heat risk index 2024 × β_DSI — same planning idea, different variable and thresholds; not a reproduction of published priority zones.
Citation
Bečić, D.; Gašparović, M. (2026). Disentangling Climate and Demographic Drivers of Urban Heat Risk: A Geographically Weighted Regression Analysis of Zagreb (2001–2024). Earth, 7, 72. DOI: 10.3390/earth7030072