EconPapers    
Economics at your fingertips  
 

Fractal Dimensions in Architecture: Measuring the Characteristic Complexity of Buildings

Michael J. Ostwald () and Josephine Vaughan ()
Additional contact information
Michael J. Ostwald: UNSW Built Environment, University of New South Wales
Josephine Vaughan: The University of Newcastle

Chapter 55 in Handbook of the Mathematics of the Arts and Sciences, 2021, pp 1433-1449 from Springer

Abstract: Abstract In architectural research, debates about the development, function, or appropriateness of building forms have traditionally been dominated by qualitative approaches. These have been common in the past because the full geometric complexity of a building has proven difficult to encapsulate in any single measurement system. Even simple buildings may be made up of many thousands of separate changes in geometry, which combine together across multiple scales to create a habitable or functional structure. However, since the 1990s architectural scholars have begun to adopt one particular method for mathematically examining the form of a building. This method relies on fractal dimensions, which are measures of the characteristic complexity of an image, object, or set. This chapter introduces fractal dimensions and the primary method used to measure them in architecture, the box-counting approach. The chapter describes key methodological variables and limits that are pertinent to its application in architecture, and then it summarizes the results of past research using this approach. The paper concludes with a tabulated set of typical fractal dimension ranges for sets of plans and elevations of designs by 11 famous architects or practices.

Keywords: Fractal dimension; Architecture; Design; Box-counting method; Measurement; Assessment (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-57072-3_12

Ordering information: This item can be ordered from
http://www.springer.com/9783319570723

DOI: 10.1007/978-3-319-57072-3_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-12-11
Handle: RePEc:spr:sprchp:978-3-319-57072-3_12