Upper Palaeolithic site probability in Lower Austria – a geoarchaeological multi-factor approach
Dados Bibliográficos
| ID | 9359484 |
|---|---|
| Autores | Bruno Boemke (0000-0001-9373-9389, RWTH Aachen University, autor correspondente), Thomas Einwögerer (0000-0003-0612-906X, Austrian Academy of Sciences), Marc Händel (0000-0002-0508-0607, Austrian Academy of Sciences), Frank Lehmkuhl (0000-0002-6876-7377, RWTH Aachen University) |
| Ano | 2022 |
| Volume | 18 |
| Fascículo | 4 |
| Páginas | 610-618 |
| Data de publicação | 2022-01-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Maps (JOURNAL) |
| Identificadores do periódico | ISSN: 1744-5647 • E-ISSN: 1744-5647 |
| Editora | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17445647.2021.2009926 |
| OpenAlex | W4206995619 |
| Idioma | EN |
| Citações recebidas | 6 |
| Referências citadas | 32 |
In archaeology, predictive models play a key role in understanding the interactions between humans and the palaeo-environment. They are also of great value for cultural heritage management and planning purposes. This is particularly true for Palaeolithic sites in the east Austrian loess landscape, which are often deeply embedded in sediment sequences. In this study, we analyse the geospatial behaviour of 23 Upper Palaeolithic sites in Lower Austria. Hereby, we apply a new approach, which combines the advantages of a classical deductive method with the capabilities of machine learning, implemented via the MaxEnt software. The result is a predictive model for an area of 7850 km2, exploring the potential for the presence of Upper Palaeolithic sites. The model highlights several spatial dynamics of site probability in the study area. Possible sources of inaccuracies within the source data and the methodology are critically discussed
Archaeology · Cartography · Geography · Geospatial analysis · Loess · Archaeology and ancient environmental studies · Computer Science · Geochemistry and Geologic Mapping · Pleistocene-Era Hominins and Archaeology · Geology · Paleontology
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| Obras citantes distintas | 6 |
|---|---|
| Citações por ano | 1,5 |
| Intervalo de citações | 2022 - 2026 (5) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 5 |