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)

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.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29041083.v1
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
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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)

Figshare
Plant pathogens and resistance mechanisms
article

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)

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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.

Figshare
Openalex Percentile: Top 43%
Plant pathogens and resistance mechanisms
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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) · Figshare (2025) | TGRS Research Map | TGRS