Tribal boundaries: Stylistic variability and social boundary maintenance during the transition to the Copper Age on the Great Hungarian Plain

Parkinson, William A.

doi:10.1016/j.jaa.2005.06.002

Cited by 42 publications

(33 citation statements)

References 36 publications

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“…After the Late Neolithic (Tisza Culture) the site was abandoned to be reoccupied in the Early Copper Age (Tiszapolgár Culture). Habitation of the settlement continued until the Early/Middle Bronze Age (Gyulavarsánd Culture) with a small interruption during the end of the Middle Copper Age [33][34][35][36]. In the 11th century AD a church and then a monastery of the Csolt-clan were established on the Vésztő-Mágor Tell.…”

Section: Case Study: the Vésztő-mágor Tellmentioning

confidence: 99%

Fusion of Satellite Multispectral Images Based on Ground-Penetrating Radar (GPR) Data for the Investigation of Buried Concealed Archaeological Remains

et al. 2017

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Abstract:The paper investigates the superficial layers of an archaeological landscape based on the integration of various remote sensing techniques. It is well known in the literature that shallow depths may be rich in archeological remains, which generate different signal responses depending on the applied technique. In this study three main technologies are examined, namely ground-penetrating radar (GPR), ground spectroscopy, and multispectral satellite imagery. The study aims to propose a methodology to enhance optical remote sensing satellite images, intended for archaeological research, based on the integration of ground based and satellite datasets. For this task, a regression model between the ground spectroradiometer and GPR is established which is then projected to a high resolution sub-meter optical image. The overall methodology consists of nine steps. Beyond the acquirement of the in-situ measurements and their calibration (Steps 1-3), various regression models are examined for more than 70 different vegetation indices (Steps 4-5). The specific data analysis indicated that the red-edge position (REP) hyperspectral index was the most appropriate for developing a local fusion model between ground spectroscopy data and GPR datasets (Step 6), providing comparable results with the in situ GPR measurements (Step 7). Other vegetation indices, such as the normalized difference vegetation index (NDVI), have also been examined, providing significant correlation between the two datasets (R = 0.50). The model is then projected to a high-resolution image over the area of interest (Step 8). The proposed methodology was evaluated with a series of field data collected from the Vésztő-Mágor Tell in the eastern part of Hungary. The results were compared with in situ magnetic gradiometry measurements, indicating common interpretation results. The results were also compatible with the preliminary archaeological investigations of the area (Step 9). The overall outcomes document that fusion models between various types of remote sensing datasets frequently used to support archaeological research can further expand the current capabilities and applications for the detection of buried archaeological remains.

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Section: Case Study: the Vésztő-mágor Tellmentioning

confidence: 99%

Fusion of Satellite Multispectral Images Based on Ground-Penetrating Radar (GPR) Data for the Investigation of Buried Concealed Archaeological Remains

et al. 2017

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“…The Copper Age is therefore defined by the changes seen in settlement patterns, ceramics, burial customs and trade networks, which occurred across the Carpathian Basin from ca. 4500 to 2500 cal BC (Bánffy 1994;Bognar-Kutzian 1972:160-164;Gyucha et al 2014;Kalicz 1970;Parkinson 2006). However, defining cultural boundaries and chronologies can be problematic (Raczky and Siklósi 2013;Sraka 2014).…”

Section: Defining the Copper Age In The Carpathian Basinmentioning

confidence: 99%

“…The Copper Age in the Carpathian Basin is marked by a distinct change in settlement patterns, material culture, social traditions and subsistence practices (Bánffy 1994;BognarKutzian 1972:160-164;Gyucha et al 2014;Kalicz 1970;Parkinson 2006). However, limited systematic investigations have led to an inadequate understanding of crop agriculture and its role in society from ca.…”

Section: Introductionmentioning

confidence: 99%

Agricultural change in Copper Age Croatia (ca. 4500–2500 cal B.C)?

Reed

2016

Archaeol Anthropol Sci

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“…Gregory Johnson dubbed the phenomenon scalar stress, and argued from a social evolution perspective that due to the "Irritation Coefficient", expanding populations will either be forced to fission, and split into smaller and more manageable groups, or a higher-level governing layer capable of mitigating scalar stress will emerge [122]. Though archaeological evidence for fissioning in early villages and/or the emergence of a higher-level of institutional complexity is scarce due to the difficulties of data, scalar stress and its role in structuring scale domains of human population sizes remains a widely accepted theory [121,123,124]. The degree of acceptance despite the scarcity of hard evidence stems from work done by a wide array of theorists who have demonstrated that (a) the location of population size "hinge points", or thresholds, are common across human populations situated in very different environmental and cultural contexts; and (b) human cognitive factors such as short-term and long-term memory and limitations in information processing capabilities provide mechanisms for population hinge points [105,107,108,125].…”

Section: Archaeology/anthropologymentioning

confidence: 99%

Transdisciplinary Application of Cross-Scale Resilience

et al. 2014

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Abstract:The cross-scale resilience model was developed in ecology to explain the emergence of resilience from the distribution of ecological functions within and across scales, and as a tool to assess resilience. We propose that the model and the underlying discontinuity hypothesis are relevant to other complex adaptive systems, and can be used to identify and track changes in system parameters related to resilience. We explain the theory behind the cross-scale resilience model, review the cases where it has been applied to non-ecological systems, and discuss some examples of social-ecological, archaeological/ anthropological, and economic systems where a cross-scale resilience analysis could add a quantitative dimension to our current understanding of system dynamics and resilience. We argue that the scaling and diversity parameters suitable for a resilience analysis of ecological systems are appropriate for a broad suite of systems where non-normative quantitative assessments of resilience are desired. Our planet is currently characterized by OPEN ACCESS Sustainability 2014, 6 6926 fast environmental and social change, and the cross-scale resilience model has the potential to quantify resilience across many types of complex adaptive systems.

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Tribal boundaries: Stylistic variability and social boundary maintenance during the transition to the Copper Age on the Great Hungarian Plain

Cited by 42 publications

References 36 publications

Fusion of Satellite Multispectral Images Based on Ground-Penetrating Radar (GPR) Data for the Investigation of Buried Concealed Archaeological Remains

Fusion of Satellite Multispectral Images Based on Ground-Penetrating Radar (GPR) Data for the Investigation of Buried Concealed Archaeological Remains

Agricultural change in Copper Age Croatia (ca. 4500–2500 cal B.C)?

Transdisciplinary Application of Cross-Scale Resilience

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