What involves editing and transforming geospatial data?

Data manipulation refers specifically to the processes involved in editing, transforming, and managing geospatial data to prepare it for analysis or visualization. This encompasses a variety of actions such as correcting errors in datasets, altering data formats, aggregating data from different sources, and applying various transformations to meet analysis requirements.

In contrast, data acquisition focuses on the collection of geospatial information from various sources, such as sensors, satellite imagery, or surveys, without delving into how that data is subsequently handled or modified. Cartography and visualizations pertain to the presentation and representation of geospatial data, emphasizing how data is displayed rather than the underlying manipulation. Professional practice involves the ethical, legal, and procedural aspects of working with geospatial data but does not specifically target the activities related to data transformation.

Thus, data manipulation is the most appropriate choice, accurately representing the processes involved in editing and transforming geospatial information.