Abstract
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 km² area of interest includes the municipium Aelium Cetium (Sankt Pölten) and the forts Arelape (Pöchlarn), 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.
| Original language | English |
|---|---|
| Article number | 2487444 |
| Number of pages | 17 |
| Journal | Journal of Maps |
| Volume | 21 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 24 Apr 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Austrian Fields of Science 2012
- 601003 Archaeology
- 601026 Virtual archeology
- 601024 Archaeological prospection
Keywords
- roman settlement
- Suitability map
- predictive modeling
- maximum entropy
- machine learning
- climate change
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