A Data-Driven Method for Constructing the Spatial Database of Traditional Villages—A Case Study of Courtyard Residential Typologies in Yunnan, China

Author:

Meng Yanjun12ORCID,Zhai Hui1ORCID,Teoh Bak Koon2ORCID,Tiong Robert Lee Kong2,Huang Siyang3ORCID,Cen Dawei1,Cui Chaowei4

Affiliation:

1. Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China

2. School of Civil & Environmental Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore

3. Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China

4. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China

Abstract

A digital civilization rising on silicon-based technology is predicted to replace carbon-based spaces with virtual ones, leading to the decline of rural regionalism. Reconciling the benefits of globalization through data-driven methods while preserving the locality of rural areas is crucial. The extensive collection of traditional villages in the Yunnan Province possesses abundant natural heritages and diverse regional cultural resources. However, the existing assessment and identification index system for these traditional villages primarily relies on qualitative measures, which lack a consistent and quantifiable data system that can provide scientific, data-driven analysis. This study focuses on the mainstream types of traditional villages in the Yunnan Province as its research subject. Based on empirical research methods and architectural typology principles, two data acquisition and vectorization procedures are implemented, combining tilt photography and digital mapping technology. This approach addresses the inconsistency problem of the current system’s complex information and multiple data. This study aims to establish an efficient, objective, and consistent method of generating a database that comprehensively represents the environmental and architectural characteristics of the villages. Once established, this database could serve as a consistent and objective basis for subsequent quantitative analyses across different types of villages. Hence, setting up a consistent, quantifiable database is the first step to future data-driven policymaking, which is essential for sustainable preservation. In conclusion, the repeatability and reproducibility of these research findings are intrinsically tied to the meticulous methodology employed in the process of data acquisition and vectorization. The valid result was demonstrated after the verifying of the correlation analysis. Finally, a challenge to the universality came from adding different worldwide villages to the database and revealing underlying patterns.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference63 articles.

1. (2023, August 20). Department of Natural Resources of Yunnan Province, Territorial Spatial Planning of Yunnan Province, Kunming, China. Available online: http://www.gui-hua.com/post/342.html.

2. Study on Dividing Flatland County, Semi-mountainous & Semiflatland County and Mountainous County in Yunnan Province Based on the Second National Land Survey;Yang;J. Nat. Resour.,2014

3. Yunnan Third National Land Survey Leading Group (2023). Yunnan Province Third National Land Survey.

4. A database for the architectural heritage recovery between Italy and Switzerland;Bianco;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2013

5. Methodological bases for documenting and reusing vernacular farm architecture;Fuentes;J. Cult. Heritage,2010

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