历史旅行努力的综合空间模型——以芬兰为例

IF 1.3 Q2 GEOGRAPHY Fennia-International Journal of Geography Pub Date : 2021-06-24 DOI:10.11143/fennia.98357
Timo Rantanen, H. Tolvanen, T. Honkola, O. Vesakoski
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引用次数: 1

摘要

本文通过对芬兰总体可达性空间格局的研究,提出了芬兰历史旅游环境综合模型的分析链,为人口历史的多学科研究做出了贡献。我们利用高质量的地形和景观空间数据,结合历史资料,创建了一个覆盖全国的空间历史旅游环境模型,该模型在考虑到19世纪末的环境和人为因素的情况下,描述了旅游努力的景观特征。基于旅行环境模型的历史旅行努力空间分析表明,全国不同地区的旅行速度在0.6 - 5.3 km/h之间。这几乎是10倍的范围,对于依赖于历史旅行努力和芬兰人口群体之间接触的研究来说,这可能是非常重要的。结果表明,芬兰南部的总体旅行努力明显小于北部:芬兰南部几乎所有地区的平均旅行速度都在3公里/小时以上,而北部的平均旅行速度则低于2.5公里/小时。一项使用随机100公里样带的更详细研究强调了在不同景观中以及在每个成本面上不同源数据组合之间的最低成本路线的可变性。本文认为,将现有的空间数据档案与考古、语言和遗传数据结合起来进行GIS分析,研究旅行努力及其对观察到的语言、遗传特征和考古发现的空间模式的影响,具有很大的潜力。
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A comprehensive spatial model for historical travel effort - a case study in Finland
Contributing to multidisciplinary studies of human population history, this paper presents an analysis chain to comprehensively model the historical travel environment in Finland, based on a study of spatial patterns of overall accessibility within the country. We created a spatial historical travel environment model over the whole country using high-quality terrain and landscape spatial data, combined with information from historical sources that characterize the landscape in terms of travel effort given the environmental and human-related factors current up until the late 19th century. Spatial analyses of historical travel effort based on the travel environment model indicate travel speeds for different parts of the country, ranging from 0.6 to 5.3 km/h. This is nearly a tenfold range, potentially highly significant for studies relying on historical travel effort and contacts between population groups in Finland. The results show that the overall travel effort in southern Finland is significantly smaller than in the north: almost all areas in southern Finland have average travel speeds above 3 km/h, whereas the average travel speeds below 2.5 km/h are typical in the north. A more detailed study using random 100 km transects highlights the variability of the least-cost routes in different landscapes and between different source data combinations in each cost surface. The paper identifies great potential in combining the existing spatial data archives with archaeological, linguistic, and genetic data in a GIS analysis, to study the travel effort and its impact on the observed spatial patterns of languages, genetic traits, and archaeological findings.
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
15
审稿时长
16 weeks
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