Land-use and land-cover change (LUCC) has become a key field for the research of global environmental change since the 1990s. More attention is paid to the identification and description of the driving forces of LUCC. For all kinds of limitations, it is difficult to incorporate different influencing factors into a whole model to carry out such an analysis. Canonical Correlation Analysis (CCA) is a kind of traditional statistical model to show the relationship between two multiple stochastic variables. It is widely applied in different research fields to describe the relationship between the set of criterion measures and the set of explanatory factors. This paper introduces the connotations, characteristics and procedures of this multivariate analysis. It is combined with one of the analyses on geographic problems, to identify the relationship between the land-use patterns and its influencing factors. Taking the Bohai Rim in China as an example, through the preparation of the data, operation procedures and statistical checks, the application of CCA in a practical study is given comprehensively. It is shown that CCA could be widely applicable to the geographic analysis, especially to the identification of the relationship between land-use structure and its influencing factors. Through the canonical loadings analysis, the influencing extension of different factors to the dependant variables or the contribution extension of explanatory variables to the explained variables could be described quantitatively. As CCA is carried out in combination with a series of data checks and precision tests, it makes the specific analysis more rational and scientific.