What aspect does not affect the scale of geospatial data?

The scale of geospatial data primarily refers to the relationship between distance on the map and the corresponding distance on the ground. When considering the provided options, the method of data collection does not directly impact the scale of the data itself. Scale is inherently linked to how a representational dataset corresponds to real-world dimensions, which is determined by factors such as the level of detail shown in the data, the type of analysis conducted, and the accuracy of the data interpretation.

The level of detail influences how much ground area is represented on a map and typically defines the granularity or zoom level of the data. Different types of analyses may require different scales or can result in transformations that alter scale. Similarly, accuracy affects the reliability of the information represented at a specific scale. Thus, the method of data collection—such as using satellite imagery or ground surveys—doesn't inherently change the scale definition but rather contributes to how accurately or comprehensively the scale can represent real-world phenomena.