The three examples in the previous subsection illustrate that building spatial and spatiotemporal models are not limited to the physical dimensions attached to their original meaning. The straightforward way for problem mapping is to first identify the data types related to a particular problem, then consider the native data types to the model and find the match. For example, point process models would be suitable for modeling the transport of point defects because of their sparse distribution.