Three Methods for Detecting Past Groupings: Cultural Space and Group Identity

Cormier, Laurie Tremblay; Nakoinz, Oliver; Popa, Catalin Nicolae

doi:10.1007/s10816-017-9350-2

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Cultural distance has been shown to be a proxy for interaction (Nakoinz, 2013). The methodology is described in detail in other publications (e.g., Cormier et al, 2017) and, from a network research perspective, it can be understood and compared to similarity networks (cf. Östborn and Gerding, 2015;Habiba et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Urbanity as a Process and the Role of Relative Network Properties—A Case Study From the Early Iron Age

Nakoinz

Bilger

Matzig

2020

Front. Digit. Humanit.

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Section: Methodsmentioning

confidence: 99%

Urbanity as a Process and the Role of Relative Network Properties—A Case Study From the Early Iron Age

Nakoinz

Bilger

Matzig

2020

Front. Digit. Humanit.

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“…territory in this region [20]. During the Hallstatt C period the population was self-sufficient, composed of small scattered villages and agricultural territories distinguished by quadrangular enclosed farms and hilltop settlements [19].…”

Section: Plos Onementioning

confidence: 99%

“…The Early Iron Age in Europe, particularly the Hallstatt period, is marked by numerous societal, economic and cultural changes that also have repercussions on the occupation of the territory in this region [ 20 ]. During the Hallstatt C period the population was self-sufficient, composed of small scattered villages and agricultural territories distinguished by quadrangular enclosed farms and hilltop settlements [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Point Pattern Analysis (PPA) as a tool for reproducible archaeological site distribution analyses and location processes in early iron age south-west Germany

Bilotti,

Kempf,

Oksanen

et al. 2024

PLoS ONE

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Point Pattern Analysis (PPA) has gained momentum in archaeological research, particularly in site distribution pattern recognition compared to supra-regional environmental variables. While PPA is now a statistically well-established method, most of the data necessary for the analyses are not freely accessible, complicating reproducibility and transparency. In this article, we present a fully reproducible methodical framework to PPA using an open access database of archaeological sites located in south-west Germany and open source explanatory covariates to understand site location processes and patterning. The workflow and research question are tailored to a regional case study, but the code underlying the analysis is provided as an R Markdown file and can be adjusted and manipulated to fit any archaeological database across the globe. The Early Iron Age north of the Alps and particularly in south-west Germany is marked by numerous social and cultural changes that reflect the use and inhabitation of the landscape. In this work we show that the use of quantitative methods in the study of site distribution processes is essential for a more complete understanding of archaeological and environmental dynamics. Furthermore, the use of a completely transparent and easily adaptable approach can fuel the understanding of large-scale site location preferences and catchment compositions in archaeological, geographical and ecological research.

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“…means the sites are independent. As to how we aggregate, with all its caveats effective aggregation is the more familiar way to proceed, in which case, for q=0 S 0 (A,B) is the Jaccard similarity index with its emphasis on infrequent artefact types and, for q=2, S 2 (A,B) is the Morisita-Horn index (Courmier, 2018;Habiba, 2018) with its indifference to infrequent artefact types.…”

Section: Cretan Heterogeneitymentioning

confidence: 99%

“…For others, particularly in small towns away from the heat of political argument, they were just a welcome change of fashion (see Hillman 2013, 163). As well as diachronic differences in the data we also consider synchronous spatial heterogeneity as a demonstration of horizontal cultural transmission illuminating possible underlying socio-political processes (Courmier et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Entropology: an information-theoretic approach to understanding archaeological data

Gheorghiade

Vasiliauskaite

Diachenko

et al. 2023

Preprint

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This paper presents new tactics for characterizing the relationship between archaeological assemblages, based on entropy and its related attributes, primarily diversity, borrowing heavily from ecology. Our starting premise is that diachronic change in our data is a likely, albeit distorted, reflection of social processes and that spatial difference in data reflects cultural separation. To explore this, we have adopted a null model for comparing assemblage profiles. The modelling is tested on i) a Late Bronze Age Cretan data set compiled by one of us (PG) and ii) a 4th millennium Western Tripolye data set that was analysed earlier. The contrast between the strongly geographically and culturally heterogeneous Bronze Age Crete and the strongly homogeneous Western Tripolye culture in the Southern Bug and Dnieper interfluve show the successes and limitations of our approach. As such, this paper is not primarily about Late Bronze Age (LBA) Crete or Western Tripolye culture per se, although the modelling contributes to our understanding of Cretan archaeology of this period. A fuller discussion of Cretan archaeology and LBA datasets will be given elsewhere. Rather, we use the paper to exemplify problems with archaeological data. Even though we have ‘lots of Cretan data’ (originally 13,000 + artefacts) we cannot consider this as ‘big data’. Due to poor statistics, they only permit non-semantic analysis, particularly important when our aggregation protocols depend on how representative our data is, and whether our assemblages are treated as censuses or samples.

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Three Methods for Detecting Past Groupings: Cultural Space and Group Identity

Cited by 5 publications

References 14 publications

Urbanity as a Process and the Role of Relative Network Properties—A Case Study From the Early Iron Age

Urbanity as a Process and the Role of Relative Network Properties—A Case Study From the Early Iron Age

Point Pattern Analysis (PPA) as a tool for reproducible archaeological site distribution analyses and location processes in early iron age south-west Germany

Entropology: an information-theoretic approach to understanding archaeological data

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