当前位置: X-MOL 学术Journal of Archaeological Science › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Beyond Least Cost Paths: Circuit theory, maritime mobility and patterns of urbanism in the Roman Adriatic
Journal of Archaeological Science ( IF 2.8 ) Pub Date : 2021-12-27 , DOI: 10.1016/j.jas.2021.105534
Andrew McLean , Xavier Rubio-Campillo

Traditionally, Least Cost Paths (LCP) are used for exploring mobility across archaeological landscapes. However, LCPs only highlight optimal paths, and implementing maritime mobility is arduous. In this paper, Circuit Theory (CT) analysis is used to analyse potential mobility. Key to this is the effect of wind patterns, dependent on the month and direction of travel, on maritime mobility. This analysis is applied to the case study of urbanism in the Roman Adriatic, and it is shown that CT provides considerably more quantitative data than LCP. These data can then be used in deeper analysis of the archaeological landscape, showing the impact of potential mobility on various factors. The impact on site distribution appears to be significant, with urban centres consistently being located in areas with above average potential mobility values, particularly those in the Northern Adriatic. The impact on population hierarchy is more com-plex, and while the urban centres with the largest populations generally have higher potential mobility values, there is no straightforward correlation between the two, and so additional factors must have played a more significant role in determining this hierarchy, than in site distribution.



中文翻译:

超越最低成本路径:罗马亚得里亚海的电路理论、海上机动性和城市化模式

传统上,最低成本路径 (LCP) 用于探索跨考古景观的移动性。然而,LCPs只强调最优路径,实施海上机动性困难重重。在本文中,电路理论 (CT) 分析用于分析潜在的迁移率。关键是风模式对海上机动性的影响,取决于旅行的月份和方向。该分析应用于罗马亚得里亚海的城市化案例研究,结果表明 CT 提供的定量数据比 LCP 多得多。然后,这些数据可用于对考古景观进行更深入的分析,显示潜在流动性对各种因素的影响。对站点分布的影响似乎很大,城市中心始终位于具有高于平均潜在流动性值的区域,尤其是在北亚得里亚海。对人口等级的影响更为复杂,虽然人口最多的城市中心通常具有更高的潜在流动性值,但两者之间没有直接的相关性,因此其他因素在决定这一点时必须发挥更重要的作用层次结构,而不是站点分布。

更新日期:2021-12-27
down
wechat
bug