What term describes the dynamic changes of datasets in GIS?

The term "spatio-temporal models" aptly describes the dynamic changes of datasets in GIS because these models explicitly incorporate both spatial and temporal dimensions. This means they account for how data changes over time in relation to its spatial context. For instance, spatio-temporal models can track the movement of variables such as population distribution, land use changes, or environmental conditions, allowing for analysis and visualization of trends and patterns over time.

This capability is essential for understanding phenomena that are not static, providing insights into how geographic features and data evolve. In contrast, the other terms do not encapsulate this concept. Static models refer to unchanging representations, raster models are a type of data structure that does not intrinsically convey dynamic changes, and a geodatabase is simply a repository for storing spatial data, without a focus on temporal changes. Thus, spatio-temporal models are specifically designed for analyzing the interrelationship between time and space in a dynamic manner.