Digital Navigator on the Seas of the Selden Map of China
Sequential Least-Cost Path Analysis Using Dynamic Wind Data
Dados Bibliográficos
| ID | 12426711 |
|---|---|
| Autores | Wesa Perttola (0000-0002-2199-7220, University of Helsinki, autor correspondente) |
| Ano | 2021 |
| Volume | 29 |
| Fascículo | 2 |
| Páginas | 688-721 |
| Data de publicação | 2021-09-10 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Archaeological Method and Theory (JOURNAL) |
| Identificadores do periódico | ISSN: 1072-5369 • E-ISSN: 1573-7764 |
| Editora | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10816-021-09534-6 |
| OpenAlex | W3194658737 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 72 |
During the age of sail-powered ships, the maritime trade networks of Southeast Asia were highly cyclical in nature due to the biannually switching wind directions of the East Asian Monsoon. The Selden Map of China provides us with a glimpse of these connections in the early seventeenth century, and it is drawn in a unique way that allows the sailing durations between ports to be measured. In this paper, a novel method of simulating directed sail-powered voyages is developed. The method utilizes ArcGIS Pro’s functionality through Python macros, and unlike the previous least-cost path (LCP) sailing models, it is based on sequential LCP analysis using dynamic real-time series wind data. The optimized routes and sailing durations generated by the macros are then compared against the Selden map. In general, the model performs reasonably well in favourable winds, but is unable to simulate tacking properly in adverse conditions. The results allow the visualization of wind patterns in terms of time spent at sea and demonstrate the inherent natural rhythm of maritime movement and trade in the South China Sea region. The macros are freely available and can be modified to simulate directed sailing in other time periods, localities, and environmental settings
China · Data mining · Geography · Macro · Meteorology · Python (programming language · Real-time computing · Visualization · Wind speed · Computer Science · Historical Geography and Cartography · Maritime and Coastal Archaeology · Tropical and Extratropical Cyclones Research
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| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 3,33 |
| Intervalo de citações | 2023 - 2026 (4) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 10 |