Far-from-equilibrium, spatially extended chaotic systems have generally elu
ded analytical solution, leading researchers to consider theories based on
a statistical rather than a detailed knowledge of the microscopic Length sc
ales. Building on the recent discovery of a separation of length scales bet
ween macroscopic behavior and microscopic chaos, a simple far-from-equilibr
ium spatially extended chaotic system has been studied computationally at i
ntermediate, coarse-grained scales. Equilibrium properties such as Gibbs di
stributions and detailed balance are recovered at these scales, which sugge
sts that the macroscopic behavior of some far-from-equilibrium systems migh
t be understood in terms of equilibrium statistical mechanics.