Abstract: Highlights•Introduced an empirically validated framework for multiscale resilience assessment and identification of influencing factors.•Applied computational intensive models to explain the causal relationships between resilience and driving factors.•Integrated resilience assessment in a CyberGIS platform to enable customizable resilience assessment and visualization.•Evaluated county-level community resilience to natural hazards in the United States for 2000–2020.•Incorporated multi-source data and advanced machine learning tools for strategizing disaster resilience enhancement.
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