AN INTERDISCIPLINARY EXPLORATION ON CLIMATE NOTION IN DIGITAL RESEARCH

Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 131 - 143, 23.12.2022

Safiye Elif Serdar Yakut , Ayşegül Akçay Kavakoğlu

https://doi.org/10.18038/estubtda.1170974

Abstract

Research related to climate concepts has started to be more interdisciplinary with the climate change awareness. Climate action, and climate-positive design research topics are common notions among design disciplines, especially in architecture and landscape architecture. It can be said that computation, digitalization, performance-based simulations of environmental effects, and production methods in digital design are initial topics that come to the forefront concerning methodology. The reflections of these methodologies differ according to the aims and objectives. This paper aims to examine which notions and word phrases are used in the literature on climate in digital design research in a comparative way. Within this scope, The International Journal of Architectural Computing (IJAC) and The Journal of Digital Landscape Architecture (JoDLA) are chosen as academic resources indexed in the Scopus. To obtain the differentiations on climate-related concepts and their associations with other fields in an interdisciplinary manner; published research articles' titles, abstracts and keywords are defined as datasets. The examination is conducted through the data mining method as a deductive approach, using the main words are separated and associated with various phrases, and binary term occurrences. The outcomes are visualized through a map to reveal the relations of the notions that occur in the research. The findings reveal that both disciplines work on environmental issues from the context relationality stage. Although landscape architecture seems to be more related with the environment, climate and ecology trio, the binary-term occurrences show that there is not much difference in the research rates. Nevertheless, considering the close relations with environmental and climate issues in the landscape architecture discipline, the specialization is not high in terms of computational approaches regarding architecture. It is anticipated that this research may be used in future interdisciplinary literature and methodological approaches in digital design research in architecture and landscape architecture.

Keywords

Data mining, Climate, Interdisciplinary research, Digital design, Data visualization

References

• [1] Hardy JT., Climate change: causes, effects, and solutions. England: John Wiley & Sons, 2003.
• [2] United Nations, Paris agreement. In: Report of the Conference of the Parties to the United Nations Framework Convention on Climate Change, 21st Session, 2015; Paris.
• [3] World Health Organization, COP26 Special report on climate change and health: The health argument for climate action. In: Report of the Conference of the Parties to the United Nations Framework Convention on Climate Change. 2021; Glasgow.
• [4] Reed C, Generative modeling and the making of landscape. In: Bradley C, Mekies A, editors. Codify: Parametric and Computational Design in Landscape Architecture. NY, USA: Routledge, 2018. pp. 50-63. [5] Gaspari J, Fabbri K. A study on the use of outdoor microclimate map to address design solutions for urban regeneration. Energy Proceed 2017; 111: 500-509.
• [6] Naboni E. Integration of outdoor thermal and visual comfort in parametric design. In: 30th International PLEA Conference; 16-18 December 2014. pp. 1-10.
• [7] Mokhtar S, Chronis A, Leung C. Neighborhood shading impacts on passive adaptive façade collective behavior. In: 17th International conference; 10-14 July 2017; Istanbul, Turkey: CAAD Futures. pp. 199-210.
• [8] Kalay Y, Computability of design. New York, NY, USA: John Wiley& Sons, 1987.
• [9] Oxman R, Oxman R. Theories of the Digital in Architecture. New York, NY, USA: Routledge Abingdon, 2014.
• [10] Carpo M. Turing Landscapes. In: Carpo M, editor. The Second Digital turn: Design Beyond Intelligence. London, UK. Cambridge, MA, USA: MIT press, 2017. pp.1-8.
• [11] Wallis J, Rahmann H. Topographic Surface. In: Wallis J, Rahmann H, editors. Landscape architecture and digital technologies: Re-conceptualising design and making. New York, NY, USA: Routledge, 2016. pp. 1-44.
• [12] Ervin S. Turing Landscapes. In: Bradley C, Mekies A, editors. Codify: Parametric and Computational Design in Landscape Architecture. NY, USA: Routledge, 2018. pp. 89-116.
• [13] Aish R. First build your tools. In: Peters T, Peters B, editors. Inside Smartgeometry: Expanding the Architectural Possibilities of Computational Design. New York, NY, USA: John Wiley& Sons, 2013. pp. 36-49.
• [14] Arıkan B. Graph Commons. Retrieved 20.12.2021 from https://graphcommons.com/about. 2021
• [15] Rocha AJM. Architecture theory, 1960-1980: emergence of a computational perspective. Ph.D., Massachusetts Institute of Technology, Massachusetts, USA, 2004.
• [16] Koutamanis A. A biased history of CAAD: The bibliographic version. In: eCAADe 23; Conference on education in computer aided architectural design in Europe; 21-24 September 2005; Lisbon, Portugal: eCAADe. pp 629-637.
• [17] McCullough M, Mitchell WJ. In: McCullough M, Mithell WJ, editors. Digital Design Media. MA, USA: John Wiley& Sons, 1994, pp. 1-8.
• [18] Herr CM. Caadria at Age 25: Mapping Our Past, Present, and Future. In: 25th International Conference of the Association for Computer-Aided Architectural Design Research in Asia; 5-6 August 2020; Bangkok, Thailand: CAADRIA. pp.567-576.
• [19] Sperling D, Vizioli SHT, Botasso GB, Tiberti MS, Santana EFZ, Sígolo BdOO. Crossing Timelines-Main research topics in the histories of eCAADe and SIGraDi. In: eCAADe 37; Conference on education in computer aided architectural design in Europe; 11-13 September 2019; Porto, Portugal: eCAADe. pp.407-416.
• [20] Yazar T, Uysal S. Mimarlıkta Sayısal Tasarım Kavramları Üzerine Bir Çalışma. In: Mimarlıkta Sayısal Tasarım Ulusal Sempozyumu; 14-15 June 2017; Ankara, Turkey: MSTAS. pp.127-134.
• [21] Chiu M, Lin CJ. Re-Searching the Research Problems with CAAD: Data Mining in i-CAADRIA. In: 7th onference on Computer-Aided Architectural Design Research in Asia; 2002; Cyberjaya, Malaysia: CAADRIA. pp. 31-38.
• [22] Turk Z, Cerovsek T, Martens B. The Topics of CAAD. In: Conference of Computer Aided Architectural Design Futures; 8-11 July 2001; Eindhoven, The Netherlands: CAAD Futures. pp. 547-560. [23] Seni DA, Hodges WS. Common grounds and relationships between Information Technology and Philosophy. In: AMICS, Americas Conference on Information Systems; 16 August 1996.
• [24] Lin CJ, Chiu ML. Ontology Based Design Knowledge Detective Agent. In: 10th onference on Computer-Aided Architectural Design Research in Asia; 2005; New Delhi, India: CAADRIA. pp.239-250.
• [25] Martens B, Brown A, Turk Z. Automated Classification of CAAD-related Publications: Conditions for Setting-Up a Keywording System. In: 22th Conference of The Association for Computer Aided Design in Architecture-Connecting: Crossroads of Digital Discourse; 23-26 October 2003; Indianapolis, Indiana, USA: ACAADIA. pp.365-369.
• [26] Bhatt A, Martens B. The Topics of CAAD: An Evolutionary Perspective. Joining Languages, Cultures and Visions: CAAD Futures. In: 13th International CAAD Futures Conference; 17-19 June 2009; Montreal, Canada: CAAD Futures. pp. 626-642.
• [27] North AM. Basic Association Rule Mining in RapidMiner. In: Hofmann M, Klinkenberg R, editors. RapidMiner: Data mining use cases and business analytics applications. Boca Raton, FL, USA: CRC Press, 2016. pp. 97-118