Econographication

Abstract

The rationale of Econographication revolves around the efficacy of multidimensional graphs as the most effective visual tool to understand any economic phenomenon from a multidimensional view. The main motivation behind the creation of Econographication is to evaluate multidimensional graphs evolved so far in economics and to develop new type of multidimensional graphs to facilitate the study of economics, as well as finance and business. Thereby, the mission of Econographication is to offer academics, researchers and policy maker's an alternative multidimensional graphical modeling approach to the research and teaching-learning process of economics, finance and business from a multidimensional perspective. Hence, this alternative multidimensional graphical modeling approach is offering a set of multidimensional coordinate spaces to build different types of multidimensional graphs to study any economic phenomenon. The following new types of multi-dimensional coordinate spaces are presented: the pyramid coordinate space (five axes and infinite axes); the diamond coordinate space(ten axes and infinite axes); the 4-dimensional coordinate space (vertical position and horizontal position); the 5-dimensional coordinate space (vertical position and horizontal position); the infinity-dimensional coordinate space (general approach and specific approach); the inter-linkage coordinate space; the cube-wrap coordinate space; the mega-surface coordinate space. All these multi-dimensional coordinate spaces mentioned previously, they are available to represent graphically 4-dimensions, 5-dimensions, 8-dimensions, 9-dimensions until infinity-dimensions.

The Optimum Age of Retirement Index: The Case of Malaysia

“…Multidimensional modelling is based on the application of Econographicology has been well-developed and applied over the years (Ruiz Estrada, 2011;2013a;2013b;. It is an alternative dynamic modelling framework derived mathematically which is more flexible and effective than the conventional approaches to examine multivariate data behavior.…”