The use of predictive models in Geographic Information Systems to locate Inca road sections between the Lerma Valley and the Escoipe Quebrada, Salta, Argentina
This paper’s goal is to assess whether the modeling techniques available in Geographic Information Systems, namely the calculation of Least Cost Paths, are useful tools for locating unknown sections of the Inca Royal Road or Qhapaq Ñan. Based on environmental variables that influenced the layout of...
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| Formato: | Artículo publishedVersion Artículo evaluado por pares |
| Lenguaje: | Español |
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Facultad de Filosofía y Letras, Universidad Nacional de Cuyo
2019
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| Acceso en línea: | http://revistas.uncu.edu.ar/ojs/index.php/analarqueyetno/article/view/3734 http://suquia.ffyh.unc.edu.ar/handle/suquia/11587 |
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| Sumario: | This paper’s goal is to assess whether the modeling techniques available in Geographic Information Systems, namely the calculation of Least Cost Paths, are useful tools for locating unknown sections of the Inca Royal Road or Qhapaq Ñan. Based on environmental variables that influenced the layout of other segments of Inca roads, a Least Cost Path was used to predict a 36-km long segment of the Inca road, which was then checked in the field. This segment runs between the Lerma and Calchaquí Valleys and was of paramount importance for connecting the Prepuna and Puna in the province of Salta, Argentina. |
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