rspatialdata

rspatialdata provides a centralized repository of spatial and spatio-temporal datasets and R-based tools to access, download, and visualize these data for scientific analyses.

Key Features:

• Extensive data collection: Includes administrative boundaries, Open Street Map data, population statistics, temperature records, vegetation indices, air pollution metrics, and malaria incidence data as spatial and spatio-temporal datasets.
• R-based data access: Integrates with R and R packages that act as clients for different databases to retrieve spatial data.
• Data visualization: Provides capabilities to visualize spatial and spatio-temporal datasets within the R environment.

Scientific Applications:

• Environmental science: Analysis of vegetation indices and temperature records to study climate and environmental change.
• Public health: Spatial analysis of disease distribution and burden, including malaria incidence data.
• Urban planning and social sciences: Use of administrative boundaries and population statistics for urban development and demographic studies.
• Air pollution assessment: Estimation and mapping of air pollution metrics for exposure and exposure-response analyses.
• Disease burden quantification: Spatial quantification of disease incidence and burden using disease-specific datasets.
• SDG monitoring: Evaluation of progress towards United Nations Sustainable Development Goals using relevant spatial indicators.

Methodology:

Uses R and R packages that act as clients for various databases to download and visualize spatial and spatio-temporal datasets.