A predictive model for Palaeolithic sites
A case study of Monforte de Lemos basin, NW Iberian Peninsula
Bibliographic Data
| ID | 9347604 |
|---|---|
| Authors | Mikel Díaz Rodríguez (0000-0002-2703-1507, Aarhus University, corresponding author), Ramon Fábregas Valcarce (0000-0002-7940-6884, Centro de Supercomputación de Galicia), Augusto Pérez Albertí (0000-0001-7428-4622, Universidade de Santiago de Compostela), Augusto Pérez-Alberti |
| Year | 2023 |
| Volume | 49 |
| Pages | 104012-104012 |
| Publication date | 2023-04-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Archaeological Science Reports (JOURNAL) |
| Journal identifiers | ISSN: 2352-409X • E-ISSN: 2352-4103 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jasrep.2023.104012 |
| OpenAlex | W4366764180 |
| Language | EN |
| Citations received | 6 |
| References cited | 39 |
Although a theoretical model for the settlement patterns of Galician Palaeolithic has been proposed in the last decades, it has not been statistically tested. The present paper aims to check whether this previous theoretical model can be verified statistically. For this purpose, a methodology based on the creation of a predictive model has been used in which the main environmental variables were analysed and their suitability for predicting the location of Palaeolithic sites statistically verified. The predictive model shows that the most accurate variables are elevation, slope, cost to potential hydrology, the cost to wetland areas, and visual prominence. The results demonstrated that the theoretical model was fulfilled in some of the variables previously proposed. Thus, we have shown the usefulness of this approach to test hypotheses and the results obtained open new possibilities of analysis in the study of the Palaeolithic sites in NW Iberia
Archaeology · Elevation (ballistics · Geography · Geomorphology · Peninsula · Physical geography · Settlement (finance · Structural basin · Wetland · Archaeological and Geological Studies · Computer Science · Geology and Paleoclimatology Research · Mathematics · Pleistocene-Era Hominins and Archaeology · Ecology · Geology
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| Unique citing works | 6 |
|---|---|
| Citations per year | 2 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |