Which aspect of geospatial data does normalization particularly address?

Normalization in the context of geospatial data primarily addresses data formats and scales. This process helps ensure that geospatial datasets are comparable and consistent by standardizing the values, making them easier to analyze. For instance, when integrating data from various sources, normalization allows for a common scale and format, which is essential when combining datasets that may come from different sensors or surveys that operate under varying conditions or specifications.

By focusing on uniformity in the formats and scales, normalization enables accurate analysis, minimizes errors associated with discrepancies, and enhances the overall quality of geospatial data analysis. This standardization facilitates integration, comparison, and the ability to draw meaningful insights from the combined data sources.