Application of deep learning for symbol detection on historical maps to explore spatiotemporal changes in the regional tea industry of early 20th-century Taiwan.
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 Inte...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; no. 4; pp. 1243 - 1261 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Dec2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191616448&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191616448 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2025 vid: 40 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 191616448 10.1093/llc/fqaf099 ppf: 1243 ppct: 18 formats: tig: atl: Application of deep learning for symbol detection on historical maps to explore spatiotemporal changes in the regional tea industry of early 20th-century Taiwan. aug: au: Pai, Pi-Ling Liu, Chan-Yu Kuo, Chiao-Ling Chan, Ta-Chien affil: Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 115, Taiwan Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 115, TaiwanMS in Data Science, Boston University, One Silber Way, Boston, MA02215, United States su: Deep learning Historical maps Geographic spatial analysis Spatiotemporal processes Taiwanese people Pattern perception Twentieth century Tea trade Taiwan sug: subj: Taiwan Deep learning Historical maps Geographic spatial analysis Spatiotemporal processes Taiwanese people Pattern perception Twentieth century Tea trade keyword: deep learning historical GIS historical map spatiotemporal analysis symbol detection ab: 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 model, the land use annotation data of historical maps can be automatically retrieved for GIS-based spatiotemporal analysis. Thus, the study presents the impact of global economic panic and the failure of tea exportation in the 1920s on the local tea industry and reflects the tea plantation landscape in response strategies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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