Code for <b>Mapping spatial patterns, population burdens, and influencing factors of compo

Data and code support mapping spatial patterns, population burdens, and influencing factors of compound heat–ozone exposure across two Chinese megacities. The dataset includes multiple file formats such as shapefiles, CSV, and Python scripts, totaling 165.4 MB. It was last updated on 2026-05-25 and is shared under a CC-BY-4.0 license.

Use Cases

• Mapping spatial patterns of combined heat and ozone exposure based on geospatial data files
• Estimating population burdens from compound environmental hazards based on demographic and exposure data
• Analyzing influencing factors on urban heat–ozone events based on environmental and urban form variables

Strengths

• Includes multiple geospatial data formats (SHP, DBF, PRJ) suitable for mapping analysis
• Dataset size of 165.4 MB suggests substantial underlying data volume
• License is permissive CC-BY-4.0, allowing for broad reuse

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Freshness

Last updated 2026-05-25 06:49:01; freshness should be verified

Geography

Two Chinese megacities