Description: Zonal mean is a statistical method used to calculate the average value of a variable across a specific geographical zone. This approach allows for a more accurate representation of data by considering variations within a geographic area or dataset. The zonal mean is based on the idea that data is not homogeneous and that the characteristics of a zone can influence the average value. Therefore, instead of calculating a simple mean that may not adequately reflect reality, the zonal mean takes into account the specific characteristics of each zone, providing a more detailed and contextualized analysis. This method is especially useful in fields such as geography, meteorology, and urban planning, where spatial differences can be significant. The zonal mean not only helps identify trends and patterns but also enables informed decision-making based on more representative and specific data for each area.
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