Description: Zonal statistics refer to the statistical analysis of data within defined zones or regions, often used in geographic information systems (GIS). This approach allows analysts to examine patterns and trends in geospatial data, facilitating informed decision-making across various disciplines. Zonal statistics are fundamental for understanding phenomena that vary spatially, such as population distribution, land use, air quality, and other environmental indicators. By segmenting data into specific zones, correlations and variations can be identified that would not be evident in a global analysis. This method also allows for the integration of different types of data, such as demographic, economic, and environmental, providing a more comprehensive view of reality in a given area. Zonal statistics are used in urban planning, natural resource management, public health, and market analysis, among other fields, highlighting their relevance in research and professional practice.
