What term refers to the accuracy of non-spatial data?

The term that refers to the accuracy of non-spatial data is thematic accuracy. Thematic accuracy assesses how well the information (themes) represented by the data corresponds to reality. This includes aspects such as the correctness of the classifications or categories assigned to the data, which may pertain to attributes like land use, vegetation type, or socio-demographic information.

Non-spatial data pertains to qualitative information that describes the features represented spatially but does not include their locational aspects. Therefore, thematic accuracy is crucial when evaluating such data to ensure that it accurately reflects the underlying characteristics of the phenomena being studied.

Other options are distinguishable as follows. Spatial accuracy refers to how accurately the geographic location of a feature is represented. Temporal accuracy evaluates the correctness of data in relation to time, while geometric precision pertains to the detail and correctness in the representation of geometric shapes within a spatial context. Since these three terms focus on aspects either related to location or geometry, they do not apply to the assessment of non-spatial data accuracy, making thematic accuracy the appropriate choice.