海上最低成本路径分析:五大湖上游的古老旅行路线

IF 0.4 Q1 Arts and Humanities Midcontinental Journal of Archaeology Pub Date : 2022-07-01 DOI:10.5406/23274271.47.2.01
R. Peterson
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引用次数: 0

摘要

在地理空间技术中使用成本路径工具,可以创建可以预测过去行为和运动的数字模型。虽然这些模型经常应用于陆地景观,但在海洋和复合景观的运动建模中越来越受欢迎。本文中使用的方法首先由Gustas和Supernant提出,允许创建一个不依赖于已知起点和终点的模型,而是利用研究区域边缘任意放置的点矩阵。本文应用海洋最小成本路径分析原理,建立了尼皮辛古湖高水位事件期间五大湖上游旅行的可预测性模型。本文的结果是一个热密度图,可以识别(1)高概率旅行走廊和(2)高概率旅游的沿海地区。
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Maritime Least Cost Path Analysis: Archaic Travel Routes in the Upper Great Lakes
The use of the Cost Path tool in geospatial technologies has allowed for the creation of digital models that can predict past behaviors and movements. While often applied to terrestrial landscapes, these models have gained increasing popularity in modeling movement across maritime and composite landscapes. The methods used in this article, first laid out by Gustas and Supernant, allow for the creation of a model not reliant on known origin and destination points but rather utilize a matrix of points placed arbitrarily around the edge of the study area. This article applies the principles of maritime least cost path analysis to create a predictability model for travel in the upper Great Lakes during the Nipissing high paleolake level event. The result of this paper is a heat density map that can identify (1) high probability travel corridors and (2) coastal areas of high probability travel.
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