Zonal statistics

#TODO

Is an aggregate to remote sensing data (often raster data) by a [vector-data] polygon, such as a country or administrative region. It is often used to summarize the characteristics of a region based on remote sensing data.

Why is it relevant?

Zonal statistics are relevant because they allow for the analysis of spatial patterns and relationships within a defined area. This can help in understanding land use, environmental changes, and resource distribution, among other applications.

Examples

[population-data], such as [global-human-settlement], can be used to calculate zonal statistics for population density, land cover, or other demographic characteristics at the [vector-data] level.

• Global Human Settlement Layer (GHSL) provides population density data that can be used for zonal statistics.

Checklist: remove when finished

• Description of the method
• Why is it relevant?
• Examples with hyperlinks to the data
• Reproducible examples and how to start using it

  - [ ] Link to the data source
  

• Documentation sources
• References