The emergence of macroscopic variables can be effected through coarse grain
ing. Despite practical and fundamental benefits conveyed by this Partitioni
ng of state space, the apparently subjective nature of the selection of coa
rse grains has been considered problematic. We provide objective selection
methods, deriving from the existence of relatively slow dynamical time scal
es. Using a framework for nonequilibrium statistical mechanics developed by
us, we show the emergence of both spatial variables and order parameters.
Although significant objective criteria are introduced in the coarse graini
ng, we do not provide a unique prescription. Most significantly, the grains
, and by implication entropy, are only defined modulo a characteristic time
scale of observation.