Toolkits
Explore different R and python libraries tailored for health, climate, and socioeconomic analysis, offering robust statistical methods, data visualization tools, and predictive modeling capabilities to address complex challenges in these domains.
data4health
Facilitate the access, pre-processing, and aggregation of health data at customized spatiotemporal resolutions.
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clim4health
Post-processing climate data harmonized to the spatiotemporal aggregation of health data.
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land4health
Calculate and extract remote sensing metrics for spatial health analysis to obtain areal or zonal statistics.
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socio4health
Designed to simplify the process of extracting and merging sociodemographic surveys data from different sources.
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