The challenges of applying refitting analysis in the Palaeolithic archaeology of the twenty-first century: an actualised overview and future perspectives

Romagnoli, Francesca; Vaquero, Manuel

doi:10.1007/s12520-019-00888-3

Cited by 26 publications

(15 citation statements)

References 60 publications

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“…Unluckily, neither level J nor level E had bidirectional connections regarding inter-clusters; however, the presence of intense preferential orientation was one of the main spatial patterns of level E. This issue was a very significant difference between two levels regarding comparative spatial pattern analysis. Contemporaneity hypothesis is almost impossible for both levels, although there were seven well-separated clusters in level J due to the absence of bidirectional connection between the clusters and lack of faunal remains (Romagnoli and Vaquero 2019;Vaquero et al 2019). Additionally technological analysis also did not show remarkable similarities regarding the clusters.…”

Section: Level E Vs Level Jmentioning

confidence: 88%

“…So, this same RMU concentration can explain the elements of the connection set belonged to J7 even though with no physical connection. This is a very good example in identifying that the RMU can be very useful and good indicator in terms of unconnected lithic elements and limited connections (López-Ortega et al 2011;Machado et al 2013;Romagnoli and Vaquero 2019). The second scenario was related to an entirely cortical flake with a cutting edge (CAN02-J-K25-332).…”

Section: Level Jmentioning

confidence: 95%

“…If the technological similarities can be observed in the areas, this can be used as an auxiliary indication to reinforce the contemporaneity hypothesis. In addition, bone connections are very suitable between the clusters and different activity areas although it is really hard to find the sites that have lithic and bone refits at the same time (O'Brien 2015;Rapson and Todd 1992;Romagnoli and Vaquero 2019;Vaquero et al 2017). Orientations of the connection lines are one of the other factors, which can help for the relation of the connections between the accumulations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Is a spatial investigation possible without long-distance refit/conjoin? Application to the MIS 11 lithic assemblage of levels E and J from La Cansaladeta site (Tarragona, Spain)

Yeşilova

Ollé

Vergès

2021

Archaeol Anthropol Sci

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In this manuscript, we present the first systematic refitting results of the small-scale Middle Pleistocene (MIS11) rock shelter site of La Cansaladeta. The lithic materials that have been recovered from the archaeological levels E and J were the main study materials. These levels were investigated regarding spatial pattern analysis and analyzed with auxiliary methods such as quantitative density mapping demonstration and technological analysis of the lithic clusters. Thus, the spatial patterns of the two levels were compared and discussed, in terms of connections, clusters, and movement of the lithic elements. Undoubtedly, the well preservation of the archaeological levels offered a great opportunity for the interpretation of the spatial patterns in a high-resolution perspective. La Cansaladeta has not been paid attention adequately so far may be due to the small dimension of the excavation surface or to the scarcity of faunal record. Our results show that small-scale sites without long-distance refit/conjoin connections can provide significant spatial information. Indeed, if the sites have very well-preserved archaeological levels, the absence of long connections can be supported by the auxiliary methods.

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Section: Level E Vs Level Jmentioning

confidence: 88%

Section: Level Jmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Is a spatial investigation possible without long-distance refit/conjoin? Application to the MIS 11 lithic assemblage of levels E and J from La Cansaladeta site (Tarragona, Spain)

Yeşilova

Ollé

Vergès

2021

Archaeol Anthropol Sci

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“…The region of southern Ontario has been a cradle for different societies, and inter-site analysis allows for an understanding of the topology of human behavior since the Paleo-Indian occupation [7]. The combination of archaeological evidence, together with site location, allows understanding of regional patterns of spatial topology merged with environmental characteristics [8][9][10]. By employing spatial analysis, archaeological evidence may bring the opportunity to assess past territorial behavior, as well as document our cultural complexity [11].…”

Section: Gis Archaeology and Small Townsmentioning

confidence: 99%

Archaeological Sites in Small Towns—A Sustainability Assessment of Northumberland County

Vaz

2020

Sustainability

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Background: Land-use change, resulting from urban expansion, has led to the unprecedented importance of rethinking our interactions with the environment in general. The consequences of anthropogenic activity on natural land, as well as sustainable land use types, is a significant concern to the detriment of small towns. In this article, I assess the changes in the urban footprint morphology of Northumberland County while evaluating the consequences of urban fragmentation on archaeological sites. Northumberland has a total population of 85,598 divided into seven municipalities and the Alderville First Nation reserve. Northumberland County is a commuting distance of one hour from Toronto, one of North America’s most important economic hubs. It is of the highest importance to measure and understand the current characteristics of land-use change and its impacts on the sustainability of small towns and local communities. Methods: A total of archaeological sites are used to test the impacts of urbanization and land-use change throughout the perimeter of Northumberland county. Spatial analysis is conducted employing spatial autocorrelation techniques (global and local) to assess the existence of hotspots of archaeological sites and the potential endangerment of these sites due to urban pressure. A hexagonal topology is used to derive a regional understanding of impacted regions within the county, allowing the richness of archaeological heritage sites as well as the possible concerns of these spatial clusters to be examined. Results: It is shown that a significant number of archaeological sites are present in Northumberland county, with a clear indication of a hotspot around Rice Lake. Future urbanization as well as land-use fragmentation may have an impact on the sustainability of these archaeological sites. It is shown that hexagonal geometries may establish relevant spatial surfaces to compare urban and archaeological sites as criteria to understand the endangerment of archaeological sites. The availability of the Global Urban Footprint (GUF) creates a particularly rigorous framework for the detection of impact on archaeological sites. Conclusion: The findings suggest that archaeological sites in small towns can benefit from high-resolution urban land-use footprints to detect impacts on archaeological sites and the relations of land-use change and intrasite management. This is of utmost importance in times of significant anthropogenic change brought by increasing urban pressure on small and medium-sized towns.

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“…In addition, spatial data, including orientation analysis (e.g. García-Moreno et al 2016;McPherron 2018) and refit studies (Vaquero et al 2017;Discamps et al 2019;Romagnoli and Vaquero 2019), can further help to understand the distribution of material across a site. Site use and function, including occupation duration and intensity, can be further explored by looking at patterns of burning (Pop et al 2016;Leierer et al 2019), seasonality data (Rendu and Armand 2009;Rendu 2010;Sánchez-Hernández et al 2019;Britton et al 2019) and raw material transport distances (Turq et al 2017;Moncel et al 2019).…”

Section: Integrating Lithic and Faunal Data At The Site Levelmentioning

confidence: 99%

Connecting Middle Palaeolithic Datasets: the Interplay of Zooarchaeological and Lithic Data for Unravelling Neanderthal Behaviour

et al. 2020

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The ongoing refinement of archaeological excavation and recording methods over the last decades has led to a significant increase in quantitative Middle Palaeolithic datasets that provide a record of past Neanderthal behaviour. Stone tools and butchered animal remains are the two main categories of Middle Palaeolithic archaeological remains and both provide distinctive insights into site formation and Neanderthal behaviour. However, the integration of these quantitative lithic and zooarchaeological datasets is key for achieving a full understanding of both site-specific and broader-scale patterns of Middle Palaeolithic subsistence. To explore novel ways to enhance the incorporation of these datasets, we organised a session at the 82nd annual meeting of the Society for American Archaeology in Vancouver. An underlying theme was the problem of linking lithic and faunal variability. Are variations in subsistence strategies reflected by changes in toolmaking decisions? This paper will briefly introduce the possible ways these Middle Palaeolithic datasets can be integrated, illustrated with the papers included in this special volume, and discuss its potential for understanding the variability and interconnectedness of Neanderthal technologies and subsistence strategies.

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The challenges of applying refitting analysis in the Palaeolithic archaeology of the twenty-first century: an actualised overview and future perspectives

Cited by 26 publications

References 60 publications

Is a spatial investigation possible without long-distance refit/conjoin? Application to the MIS 11 lithic assemblage of levels E and J from La Cansaladeta site (Tarragona, Spain)

Is a spatial investigation possible without long-distance refit/conjoin? Application to the MIS 11 lithic assemblage of levels E and J from La Cansaladeta site (Tarragona, Spain)

Archaeological Sites in Small Towns—A Sustainability Assessment of Northumberland County

Connecting Middle Palaeolithic Datasets: the Interplay of Zooarchaeological and Lithic Data for Unravelling Neanderthal Behaviour

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