Routes across the Civitas Menapiorum: using least cost paths and GIS to locate the Roman roads of Sandy Flanders

Verbrugghe, Gerben; Neer, Wim Van; Eetvelde, Veerle Van

doi:10.1016/j.jhg.2017.06.006

Cited by 27 publications

(15 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Having sketched our conceptual framework, we can consider the elements that are treated as observational data within studies of movement. Physical paths, of the types produced by the first kind of movement defined above, are frequently identified in surveys and landscape studied based on interpretation of LDTMs (e.g., Chase et al 2011;Vletter 2014;Friedman, Sofaer & Weiner 2017;Verbrugghe, De Clercq & Van Eetvelde 2017). At a basic level, these observational datasets are prone to several widely recognized problems, broadly related to chronological uncertainty, bias based on observer background and experience, and the vagaries of topographic preservation (Ainsworth, Oswald & Went 2013;Fernandez-Diaz et al 2014;Fruchart 2016;Small 2016).…”

Section: Characterizing the Observational Datamentioning

confidence: 99%

“…The dating and function of physical pathways can only be ascertained reliably through a process of interventions on the ground that extract dateable materials and integrate other sources carrying chronological information. Comparative historical mapping (Vletter & van Lanen 2018), aerial photography (Verbrugghe, De Clercq & Van Eetvelde 2017) and archaeological survey data (Fruchart 2016;Crozet, Laplaige & Rodier 2017) are all used as additional data sets to establish a chronology for the observed features, but this remains challenging.…”

Section: Characterizing the Observational Datamentioning

confidence: 99%

See 1 more Smart Citation

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Nuninger

Opitz

Verhagen

et al. 2020

Journal of Computer Applications in Archaeology

View full text Add to dashboard Cite

This paper proposes an ontological approach to connect the archaeological topographic evidence for movement in the landscape which can be derived from interpretation and spatial analysis of airborne lidar data with models of movement derived from modeling exercises such as Agent Based Modelling or Cost Path Modelling. This computational ontology enables the investigation of movement and its topographic manifestations in the landscape at various spatio-temporal scales. It creates an explicit framework for accessing meaningful information about movement generated through research using both detection and modelling-led approaches. Developing explicit computational frameworks to provide meaningful context is critical, particularly as remote sensing and modelling projects increase in scale and complexity. The process of developing a computational ontology exposes a deeper underlying issue, and one applicable to many topics we address as archaeologists: if we begin to unpack the concept of 'movement' it is readily apparent that it is a complex phenomenon, like many human habits, and studying it requires drawing together a variety of types of physical evidence and multiple, often competing, theoretical models of human processes and practices. If we wish to make archaeological 'data' on movement available, how do we create appropriate contextual information -really useful metadata -so that this data can be incorporated into the variety of studies for which knowledge of movement is relevant? This is essentially the challenge posed broadly by the FAIR principles, and in particular by the principle of interoperability, which suggests that we "use a formal, accessible, shared, and broadly applicable language for knowledge representation". Rather than simply seeking to fulfill the requirements of an arbitrary standard, attempting to meet the challenge of interoperability provides an impetus and opportunity to attempt to bridge the gap between data and model, and to reconsider how we conceive and represent knowledge in archaeological digital data and modelling projects. This kind of computational ontology, we suggest, can serve as the key for making the data from both these sources actually FAIR.

show abstract

Section: Characterizing the Observational Datamentioning

confidence: 99%

Section: Characterizing the Observational Datamentioning

confidence: 99%

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Nuninger

Opitz

Verhagen

et al. 2020

Journal of Computer Applications in Archaeology

View full text Add to dashboard Cite

show abstract

“…Equally predictive is the recent proposal by Verbrugghe et al (2017) Again, they do not rely on the common use of slope-based cost surfaces but on a combination of morphometric and land cover analysis to build their cost surfaces, something that is, once more, justified by the specific conditions of the regional landscape:…”

Section: Gis-based Modelling Of Roman Roadsmentioning

confidence: 99%

Footprints and Cartwheels on a Pixel Road: On the Applicability of GIS for the Modelling of Ancient (Roman) Routes

Parcero‐Oubiña

Güimil-Fariña

Fonte

et al. 2019

Computational Social Sciences

View full text Add to dashboard Cite

GIS-based digital modelling tools, such as the well-known least cost paths (LCP), have been widely used in archaeology in recent years as ways of approaching forms of mobility in the past. Roman roads are among the best-known examples of ancient networks of paths and have been widely studied using such approaches. In this paper, we shall make a general reflection on the applicability of those tools for the modelling and analysis of ancient routes, with a special focus on Roman roads. Drawing from a case study in the NW Iberian Peninsula, we shall discuss certain aspects related to the potential and limits of Cumulative Costs, LCP and other related tools for the modelling and analysis of ancient roads. We will illustrate how the use of tools which explore potential mobility in less restricted ways can help to overcome some of the limitations of LCP.

show abstract

“…predictive (Parcero-Oubiña et al, 2019); e.g. Parcero-Oubiña et al, 2019;Verbrugghe et al, 2017;Verhagen and Jeneson, 2012) or understanding the factors that may have influenced the location of known routes (i.e. postdictive (Parcero-Oubiña et al, 2019); e.g.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study

Lewis¹

2020

Preprint

View full text Add to dashboard Cite

The movement of past peoples in the landscape has been studied extensively through the use of Least Cost Path (LCP) analysis. Although methodological issues of applying LCP analysis in Archaeology have frequently been discussed, the effect of vertical error in the DEM on LCP results has not been assessed. This research proposes the use of Monte Carlo simulation as a method for incorporating and propagating the effects of vertical error on LCP results. Random error fields representing the vertical error of the DEM are calculated and incorporated into the documented and reproducible LCP modelling process using the R package leastcostpath. The development of probabilistic Least Cost Paths allows for the identification of areas that are probabilistically more likely, and likewise less likely, to have an LCP crossing a cell. Furthermore, by incorporating uncertainty into the LCP modelling process, greater confidence can be given to LCP results. These methods are applied to a Roman road case study that aims to illustrate how interpretations drawn from a single realisation of an LCP should be viewed with caution. Instead, results should be based on multiple realisations of the LCP after incorporating vertical error and interpretations should be expressed probabilistically through the use of probabilistic LCPs.

show abstract

Routes across the Civitas Menapiorum: using least cost paths and GIS to locate the Roman roads of Sandy Flanders

Cited by 27 publications

References 0 publications

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Developing FAIR Ontological Pathways: Linking Evidence of Movement in Lidar to Models of Human Behaviour

Footprints and Cartwheels on a Pixel Road: On the Applicability of GIS for the Modelling of Ancient (Roman) Routes

Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study

Contact Info

Product

Resources

About