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Pi-Ling Pai

Biographic Data

ID4604766
NAMEPi-Ling Pai
GIVEN NAMESPi-Ling
FAMILY NAMEPai
SIGNATUREPAI P
AFFILIATIONSResearch Center for Humanities and Social Sciences, Academia Sinica
ORCID0000-0002-8236-1912
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Climate, peace, and conflict—past and present

    Open Access•White, Dominik Collet et al.•ARTICLE•AMBIO•2025•Cited by: 1•References: 69

    Concern has risen that current global warming and more frequent extreme events such as droughts and floods will increase conflict around the world. This concern has spurred both social science research on contemporary climate, peace, and conflict as well as research in the historical sciences on past climate, weather, warfare, and violence. This perspectives article compares these two fields of scholarship and examines how each may benefit the ot…

  • Application of deep learning for symbol detection on historical maps to explore spatiotemporal changes in the regional tea industry of early 20th-century Taiwan

    Open Access•Pi-Ling Pai, C Liu et al.•ARTICLE•Digital Scholarship in the…•2025•References: 9

    Focusing on the early history of the tea industry in Tamsui, Taiwan, this study uses land used data extracted from maps of the 1900s and 1920s to explore the regional characteristics and changes in the distribution of tea plantations. Map symbol detection modeling was performed using Artificial Intelligence deep learning techniques, which have been growing in the field of map research in recent years. Through the constructed symbol detection mode…

  • Where military and fluvial geographies disastrously conjoined

    Open Access•Pi-Ling Pai•ARTICLE•Journal of Historical Geography•2023•Cited by: 1

  • Adaptive flood hazard management strategy and its effect on settlements in the lower Yellow River area in Ming–Qing China

    Pi-Ling Pai•ARTICLE•Environmental Hazards•2017•References: 3

    This paper examines the settlements and embankments of the Yellow River in central China in late imperial China (late fourteenth century to the early twentieth century) through the approach of historical geographical information system. The Yellow River frequently flooded and changed paths in the lower Yellow River area, creating a disaster-prone environment in the populous capital city, Kaifeng in Henan Province. The official policies of constru…

  • Spatiotemporal Evolution of Market Towns in the Jiangnan Area During the Ming-Qing Dynasties of China

    Ta‐chien Chan, Ta-Chien Chan et al.•ARTICLE•Historical Methods A Journal of…•2015•Cited by: 1•References: 12

    In this article, the authors present a spatiotemporal model for elucidating the evolution of market towns spanning from before 1550 to 1980. The study area, Jiangnan (i.e., current Shanghai and Suzhou cities area), with its flat elevation and compact river network, is the best place to evaluate the dynamic hierarchical change of the market towns in China. The population and the geographical location of each market town are manually extracted from…

  • Climate, peace, and conflict—past and present

    Open Access•White, Dominik Collet et al.•ARTICLE•AMBIO•2025•Cited by: 1•References: 69

    Concern has risen that current global warming and more frequent extreme events such as droughts and floods will increase conflict around the world. This concern has spurred both social science research on contemporary climate, peace, and conflict as well as research in the historical sciences on past climate, weather, warfare, and violence. This perspectives article compares these two fields of scholarship and examines how each may benefit the ot…

  • Where military and fluvial geographies disastrously conjoined

    Open Access•Pi-Ling Pai•ARTICLE•Journal of Historical Geography•2023•Cited by: 1

  • Spatiotemporal Evolution of Market Towns in the Jiangnan Area During the Ming-Qing Dynasties of China

    Ta‐chien Chan, Ta-Chien Chan et al.•ARTICLE•Historical Methods A Journal of…•2015•Cited by: 1•References: 12

    In this article, the authors present a spatiotemporal model for elucidating the evolution of market towns spanning from before 1550 to 1980. The study area, Jiangnan (i.e., current Shanghai and Suzhou cities area), with its flat elevation and compact river network, is the best place to evaluate the dynamic hierarchical change of the market towns in China. The population and the geographical location of each market town are manually extracted from…

  • Spatiotemporal Evolution of Market Towns in the Jiangnan Area During the Ming-Qing Dynasties of China

    Ta‐chien Chan, Ta-Chien Chan et al.•ARTICLE•Historical Methods A Journal of…•2015•Cited by: 1•References: 12

    In this article, the authors present a spatiotemporal model for elucidating the evolution of market towns spanning from before 1550 to 1980. The study area, Jiangnan (i.e., current Shanghai and Suzhou cities area), with its flat elevation and compact river network, is the best place to evaluate the dynamic hierarchical change of the market towns in China. The population and the geographical location of each market town are manually extracted from…

  • Adaptive flood hazard management strategy and its effect on settlements in the lower Yellow River area in Ming–Qing China

    Pi-Ling Pai•ARTICLE•Environmental Hazards•2017•References: 3

    This paper examines the settlements and embankments of the Yellow River in central China in late imperial China (late fourteenth century to the early twentieth century) through the approach of historical geographical information system. The Yellow River frequently flooded and changed paths in the lower Yellow River area, creating a disaster-prone environment in the populous capital city, Kaifeng in Henan Province. The official policies of constru…

  • Where military and fluvial geographies disastrously conjoined

    Open Access•Pi-Ling Pai•ARTICLE•Journal of Historical Geography•2023•Cited by: 1

  • Climate, peace, and conflict—past and present

    Open Access•White, Dominik Collet et al.•ARTICLE•AMBIO•2025•Cited by: 1•References: 69

    Concern has risen that current global warming and more frequent extreme events such as droughts and floods will increase conflict around the world. This concern has spurred both social science research on contemporary climate, peace, and conflict as well as research in the historical sciences on past climate, weather, warfare, and violence. This perspectives article compares these two fields of scholarship and examines how each may benefit the ot…

  • Application of deep learning for symbol detection on historical maps to explore spatiotemporal changes in the regional tea industry of early 20th-century Taiwan

    Open Access•Pi-Ling Pai, C Liu et al.•ARTICLE•Digital Scholarship in the…•2025•References: 9

    Focusing on the early history of the tea industry in Tamsui, Taiwan, this study uses land used data extracted from maps of the 1900s and 1920s to explore the regional characteristics and changes in the distribution of tea plantations. Map symbol detection modeling was performed using Artificial Intelligence deep learning techniques, which have been growing in the field of map research in recent years. Through the constructed symbol detection mode…

Archaeology (3 works) · Geography (3 works) · Cartography (2 works) · China (2 works) · Financial Crisis of the 21st Century (2 works) · Flood myth (2 works) · Flood Risk Assessment and Management (2 works) · Annotation (1 work) · Business (1 work) · Capital city (1 work)

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