Home is where my villa is: a machine learning-based predictive suitability map for Roman features in Northern Noricum (ca. 50-500 CE/Lower Austria/AUT)

被引:0
作者
Hagmann, Dominik [1 ]
机构
[1] Univ Vienna, Dept Evolutionary Anthropol, Human Evolut & Archaeol Sci HEAS Res network, Djerassipl 1, A-1030 Vienna, Austria
来源
JOURNAL OF MAPS | 2025年 / 21卷 / 01期
关键词
Suitability map; predictive modeling; roman settlement; maximum entropy; climate change; machine learning; IDEAL FREE; SETTLEMENT; ENTROPY; MAXENT;
D O I
10.1080/17445647.2025.2487444
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This study presents the first suitability map for identifying Roman-era archaeological features in Northern Noricum (modern Lower Austria/AUT) from ca. 50 - 500 CE. It supports archaeological site prediction and assesses the vulnerability of heritage sites to natural hazards, contributing to Cultural Heritage and Resource Management. The 1161 km(2) area of interest includes the municipium Aelium Cetium (Sankt P & ouml;lten) and the forts Arelape (P & ouml;chlarn), Favianis (Mautern an der Donau), and Augustianis (Traismauer), now part of the UNESCO World Heritage site ,,Danube Limes." Based on 1184 features from 551 findspots grouped into 129 sites, a machine learning-based Archaeological Predictive Model was developed using Maximum Entropy (Maxent), integrating environmental and agency-related factors. Area Under the Curve (AUC) scores indicate strong predictive performance (training AUC: 0.809; test AUC: 0.795). This was further supported by a case study confirming Roman rural settlements in high-suitability zones. Comparison with a 2021 flood event additionally demonstrated the model's potential to assess climate-related risks to archaeological heritage.
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收藏
页数:17
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