This paper focuses on the application of multi-dimensional Cartesian spaces in the graphical visualization of Gross Domestic Product (GDP) historical trend of any country. The main objective to use multi-dimensional Cartesian spaces is to observe all possible changes of all variables (independent variables) which affect the single variable (dependent variable) in the same graph. To observe the GDP historical trend from a multi-dimensional view, this paper also proposes the application of the GDP surface approach on the United States (U.S.) GDP historical trend from 1928 to 2004. Finally, to facilitate the visualization of the GDP surface behavior in different periods of time (per decades, annually, semester, quarterly, monthly, weekly, or daily), It requires the construction of a large number of GDP surfaces that, when joined together can generate a dynamic animation. The dynamic animation of the GDP surfaces will show real time behavior of the GDP historical trend in constant movement from far periods of time until today.