Abstract: A new extrinsic method of vegetation classification, Canonical Indicator Species Analysis, is described in this paper. Based on Canonical Correspondence Analysis axes, this technique combines vegetation data and environmental data together and provides better results in the analysis of vegetation-environment relationship. It is applied to the classification of mountain grasslands in Snowdonia, North Wales here, and the outcome of this application suggests that canonical indicator species analysis is an effective and easy-using methodology.