What type of data categorizes information that does not involve physical space representation?

Non-spatial data refers to information that does not have a geographical or physical component related to its representation; it is often descriptive and not confined to a specific location on the Earth's surface. This type of data is typically used in contexts where the location is irrelevant, such as demographic information, textual data, or psychological metrics. For example, a database containing customer information such as names, ages, and preferences falls into the category of non-spatial data because it does not link to any specific geographic locations.

In contrast, spatial data would involve information that includes coordinates or geographic elements, such as maps or satellite imagery. Structured data refers to information that is organized in a defined manner, like databases with rows and columns, while unstructured data refers to information that lacks a clear format, such as emails or social media posts. Hence, non-spatial data stands out because it emphasizes qualitative characteristics rather than any physical or spatial attributes.