2020
DOI: 10.31235/osf.io/q5yad
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Assessing the Impact of Including Traversal across Slope on Least Cost Path Accuracy: A Roman road case study

Abstract: Despite the methodological issues of Least Cost Path analysis being well known, the inclusion of traversal across slope has not been assessed. This paper uses a Roman road built along a ridge in Cumbria, England as a case study. The ‘High Street’ Roman road provides a suitable case study as its route along the ridge is dictated by the topography. By comparing the computed Least Cost Path results when including and not including traversal across slope as a cost component, this research has found that the inclus… Show more

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Cited by 2 publications
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“…These were clipped into the interesting area, and then the ‘cost distance’ on the spatial analysis tool was utilized for evaluating the slope in terms of the cost raster, which is the main recognized factor in this study (Hayakawa et al, 2008). Finally, the optimal path was generated to the endpoints or moated sites by the ‘cost path’ tool and was then calculated as a polyline (Chandio et al, 2012; Lewis, 2017; Orengo & Livarda, 2016).…”
Section: The Lcp Analysismentioning
confidence: 99%
“…These were clipped into the interesting area, and then the ‘cost distance’ on the spatial analysis tool was utilized for evaluating the slope in terms of the cost raster, which is the main recognized factor in this study (Hayakawa et al, 2008). Finally, the optimal path was generated to the endpoints or moated sites by the ‘cost path’ tool and was then calculated as a polyline (Chandio et al, 2012; Lewis, 2017; Orengo & Livarda, 2016).…”
Section: The Lcp Analysismentioning
confidence: 99%
“…These were clipped into the interesting area, and then the "cost distance" on the spatial analysis tool was utilized for evaluating the slope in terms of the cost raster, which is the main recognized factor in this study (Hayakawa et al, 2008). Finally, the optimal path was generated to the endpoints or moated sites by the "cost path" tool and was then calculated as a polyline (Chandio et al, 2012;Lewis, 2017;Orengo & Livarda, 2016).…”
Section: The Lcp Analysismentioning
confidence: 99%