 Funkhouser then offers a model on which determination dimensions, assumed to have discrete or continuous ranges of values, serve as coordinate axes of a ‘property space’ for a given determinable. The space as a whole corresponds to the determinable; points in the space correspond to maximal determinates, associated with specific assignments of values to each determination dimension; subspaces of the space correspond to less than maximal determinates (which themselves may be determinables relative to contained subspaces or points). For example, color has determination dimensions hue, saturation, and brightness, such that, e.g., red determines color if and only if the property space of red is a proper subspace of the property space of color. More generally: