Zobrazit v EDS

Australian property market explorer – a front-end native tool for visualizing property sales data

Uloženo v:
Podrobná bibliografie
Název: Australian property market explorer – a front-end native tool for visualizing property sales data
Autoři: Soundararaj, B, Pettit, C
Zdroj: Architectural Science Review. 67:549-557
Informace o vydavateli: Informa UK Limited, 2024.
Rok vydání: 2024
Témata: anzsrc-for: 33 Built Environment and Design, anzsrc-for: 1203 Design Practice and Management, anzsrc-for: 3301 Architecture, anzsrc-for: 1201 Architecture, anzsrc-for: 1202 Building, 33 Built Environment and Design, 3301 Architecture, 3303 Design, anzsrc-for: 3303 Design
Popis: Online interactive 3D visualizations can enhance understanding of the built environment, including non-physical aspects such as property value and price. With access to large-scale open datasets, a key challenge in building such interactive 3D mapping interfaces is the efficiency of visualization methods. Modern GPU-accelerated front-end mapping libraries present a solution to this problem. This research proposes a ‘front-end’ native approach to create a web-based visual analytics framework for large scale spatiotemporal data. The Australian Property Market Explorer exemplifies this framework by visualizing a large dataset of property sales in New South Wales, Australia. This tool allows users to explore and analyse property market patterns at various geographic scales. The proposed framework offers advantages over traditional methods such as scalability and reliability while promising use-cases such as aiding planners in infrastructure and transportation decisions and assisting property valuation professionals in analysing property price trends.
Druh dokumentu: Article
Popis souboru: application/pdf
Jazyk: English
ISSN: 1758-9622
0003-8628
DOI: 10.1080/00038628.2024.2369658
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....8bfd299f3f79a84c75639f66013f690d
Databáze: OpenAIRE
Popis
Abstrakt:Online interactive 3D visualizations can enhance understanding of the built environment, including non-physical aspects such as property value and price. With access to large-scale open datasets, a key challenge in building such interactive 3D mapping interfaces is the efficiency of visualization methods. Modern GPU-accelerated front-end mapping libraries present a solution to this problem. This research proposes a ‘front-end’ native approach to create a web-based visual analytics framework for large scale spatiotemporal data. The Australian Property Market Explorer exemplifies this framework by visualizing a large dataset of property sales in New South Wales, Australia. This tool allows users to explore and analyse property market patterns at various geographic scales. The proposed framework offers advantages over traditional methods such as scalability and reliability while promising use-cases such as aiding planners in infrastructure and transportation decisions and assisting property valuation professionals in analysing property price trends.
ISSN:17589622
00038628
DOI:10.1080/00038628.2024.2369658