The geospatial distribution pattern in traditional Chinese settlements(TCSs)reflects the traditional harmony between humans and nature,which has been learned over centuries.However,TCSs have experienced serious disturbances by urbanization and migration.It is crucial to explore the local wisdom of geospatial patterns and dominant factors for TCSs at the national scale in China.This study sought to determine the geospatial wisdom of tradi-tional settlements to enrich our future settlement development with the aim of establishing Chinese settlement values for modern living.Herein,a dataset of 4000 TCSs were analyzed and clustered for environmental factors that affect their geospatial patterns by machine learning algorithms.We concluded that(1)five geospatial patterns of TCSs were clustered on a national scale,and the threshold of environmental factors of TCS groups was detected.(2)Environmental conditions and settlement concepts interacted and determined the similarities and differences among TCS groups.(3)The key boundary for TCSs and the dominant factors for each zone were determined,and topographical conditions and hydrologic resources played significant roles in all five TCS zones.This study provides a better understanding of the adaptability of the environment in relation to the TCSs and aids in planning TCS conser-vation and rural revitalization.

WU Shaolin;DI Baofeng;Susan L.USTIN;Constantine A.STAMATOPOULOS;LI Jierui;ZUO Qi;WU Xiao;Al Nanshan

College of Architecture and Environment,Sichuan University,Chengdu 610065,China;Institute for Disaster Management and Reconstruction,Sichuan University-The Hong Kong Polytechnic University,Chengdu 610207,China;John Muir Institute of the Environment,University of California Davis,CA95616,USA;Stamatopoulos and Associates Co.&Hellenic Open University,Athens 11471,Greece

地理学报（英文版）

[1]WU Shaolin;DI Baofeng;Susan L.USTIN;Constantine A.STAMATOPOULOS;LI Jierui;ZUO Qi;WU Xiao;Al Nanshan-.Classification and detection of dominant factors in geospatial patterns of traditional settlements in China)[J].地理学报（英文版）,2022(05):873-891

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