An Application of Exploratory Data Analysis Techniques to Floorplan Design

Abstract

This paper presents an advisory tool for fast cost estimation of floorplans made up of rectangular arbitrarily-sized building blocks. Emphasis is laid on efficient computer processing of available data. The floorplan information is translated into proximity matrices. Exploratory data analysis, based on a multivariate statistical approach, is used with a view to revealing patterns inherent in the data. The resultant patterns are then converted into metric representations.