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...

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Publicado en:	Digital Scholarship in the Humanities Vol. 40; no. 4; pp. 1243 - 1261
Autores principales:	Pai, Pi-Ling, Liu, Chan-Yu, Kuo, Chiao-Ling, Chan, Ta-Chien
Formato:	Artículo
Publicado:	Oxford University Press / USA Dec2025
Materias:	Deep learning Historical maps Geographic spatial analysis Spatiotemporal processes Taiwanese people Pattern perception Twentieth century Tea trade Taiwan
Acceso en línea:	Ver este registro en EBSCOhost