Analytical methods for characterizing complex, nonlinear chemical syst
ems are reviewed. Emphasis is on those aspects of systems which make t
heir characterization more difficult than just measuring concentration
s or simple reaction rates. Examples include phase transitions, oscill
ating chemical reactions, laser fluctuations, and electrochemical osci
llations. Data reduction algorithms specific to such systems are descr
ibed.