An ethnoarchaeological inductive model for predicting archaeological site location: A case-study of pastoral settlement patterns in the Val di Fiemme and Val di Sole (Trentino, Italian Alps)

Carrer, Francesco

doi:10.1016/j.jaa.2012.10.001

Cited by 36 publications

(16 citation statements)

References 11 publications

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“…Following the good validation results, both using ROC and a well-known tool to validate APMs, the Kvamme's Gain, the method proposed can stand alone for future use. Some previous studies reported Gain values of 0.26 [16], 0.70 [15], 0.15 [63] and 0.92 [9], which is placing our method proposed and results obtained as being pertinent. Used in combination with other statistical methods, like AHP [9], fuzzy logic [21] and MaxEnt [19], better predictive models can be produced in the future.…”

Section: Resultssupporting

confidence: 67%

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

2019

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Archaeological predictive modelling (APM) is an important method for archaeological research and cultural heritage management. This study tests the viability of a new statistical method for APM. Frequency ratio (FR) is widely used in the field of geosciences but has not been applied in APM. This study tests FR in a catchment from the north-eastern part of Romania to predict the possible location(s) of Eneolithic sites. In order to do that, three factors were used: soils, heat load index and slope position classification. Eighty percent of the sites were used to build the model, while the remaining 20% were used to externally test the model’s performance. The final APM was made with the help of GIS software and classified into four susceptibility classes: very high, high, medium and low. The success rate curve and the prediction rate curve reported values of the area under curve (AUC) of 0.72, and 0.75 respectively. The Kvamme’s Gain value for the model has a value of 0.56. Therefore, the final APM is reliable, so FR is a viable technique for APM. The final map can be successfully used in archaeological research, cultural heritage management and protection, preventive archaeology and sustainable development.

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Section: Resultssupporting

confidence: 67%

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

2019

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“…Each generation needing more or less 30 years, this implies a speed difference of 17% with only this anthropological difference;  Enlarged families/mononuclear families (Radja, 2003): this opposition is often forgotten as a major factor of reduction of the manpower constraint and thereby RSES productivity. We show in Saqalli et al (2010a;2010b;2013) that the enlarged family configuration allows families to overcome manpower constraints thanks to family solidarity, for rapidly build houses, clear new fields, hunt, fish, gather and keep a large livestock herd at the same time for example.…”

Section: Social Component Affecting Binariesmentioning

confidence: 98%

“…Such a model is necessarily made up of a patchwork of the knowledge of several disciplines. Regarding only Neolithic issues, many modeling attempts have been successfully assessed (Ebersbach, 1999;Kohler and Gumerman, 2000;Dolukhanov and Shukurov, 2003;Janssen et al 2003;Ebersbach and Schade, 2004;Hazelwood and Steele, 2004;Janssen and Scheffer, 2004;Allen et al 2006; Kohler and van der Leeuw, 2007;Altaweel, 2008;Janssen, 2009;Lemmen et al 2009;Tipping et al 2009;Patterson et al 2010;Graves, 2011;Kaplan et al 2012;Kohler et al 2012;Lemmen and Khan, 2012;Yu et al 2012;Carrer, 2013;Baum, 2014;Saqalli et al 2014;Lemmen and Wirtz, 2014;Bernabeu Aubán et al 2015), among others, which the study of Saqalli & Baum (2016) sought to characterize according to scale and conditionalities. This type of model is often built following a spatialized modelling approach with many pixels as pieces of land and many entities, called agents, as households or occasionally individuals: with only pixels, such distributive models are referred to as cellular automata; with agents, they are referred to as agent-based models.…”

Section: What Models Are We Talking About?mentioning

confidence: 99%

O Tempora O Mores: Building an Epistemological Procedure for Modeling the Socio-anthropological Factors of Rural Neolithic Socio-ecological Systems: Stakes, Choices, Hypotheses, and Constraints

Saqalli

Sáenz

Belem

et al. 2019

Integrating Qualitative and Social Science Factors in Archaeological Modelling

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Trying to model a rural society, and even more so a past and disappeared rural society, is a dangerous task in the sense that we deal with the complexity of a whole society whatever the purpose of the model, to integrate and / or to simplify in a proper manner. This article deals with this complexity mainly by exploring the least risky way to apprehend it: starting from the question to be modelled, it is possible to gradually define the different scales, the set of variables to be considered and therefore the disciplines to be included and mobilised. Then comes only the evaluation of the data quality criteria but also of their source. We are continuing with the scheduling of modules describing the environment itself, the resource use practices and finally societal rules. Finally, we discuss the methodological, social and professional constraints in involving people in the creation of such models.

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“…Francesco Carrer () combines ethnoarchaeology and inductive modeling to predict the settlement locations of upland pastoral sites in the eastern Italian Alps. His correlative model cross‐examines both environmental and cultural factors, such as water sources and dairying functions, demonstrating that ethnoarchaeological analogy provides an unbiased theoretical and methodological approach for discriminating different settlement patterns and production strategies.…”

Section: Consolidation Of Power: Social Network Cooperation and Comentioning

confidence: 99%

Anthropological Archaeology in 2013: The Search for Truth(s)

Harrison‐Buck

2014

American Anthropologist

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In 2013, we see a clear continuation of certain themes noted in previous reviews, including economy, mobility, human-environment interactions, social complexity, identity, and power. There is a greater emphasis on comparative approaches but also a general move away from reductionist, macrosystemic models in anthropological archaeology, with studies emphasizing diversity, multiple pathways or trajectories, and variability in local responses.The fallout of the so-called "postmodernist turn" continues to prompt lively debate, with methodological rigor being emphasized as well as the critical cross-examination of our Western modes of inquiry, with some scholars considering the possibility of multiple truths in their theoretical interpretations of the past. [anthropological archaeology, science, modernist-postmodernist divide, methodological and theoretical diversity, trends, year in review]RESUMEN En el 2013, vemos una clara continuación de ciertos temas destacados en previas revisiones, incluyendo economía, movilidad, interacciones humano-ambientales, complejidad social, identidad, y poder. Hay un mayorénfasis en aproximaciones comparativas, pero también un distanciamiento general de modelos reduccionistas, macrosistémicos en arqueología antropológica, con estudios enfatizando diversidad, múltiples caminos y trayectorias, y variabilidad en respuestas locales. Las consecuencias negativas del así llamado "giro postmodernista" continúan provocando un animado debate, enfatizando el rigor metodológico, así como la interrogación crítica de nuestros modos occidentales de investigación, con algunos investigadores considerando la posibilidad de múltiples verdades en sus interpretaciones teóricas del pasado. [arqueología antropológica, ciencia, división modernista-postmodernista, diversidad metodológica y teórica, tendencias, año en revisión]

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An ethnoarchaeological inductive model for predicting archaeological site location: A case-study of pastoral settlement patterns in the Val di Fiemme and Val di Sole (Trentino, Italian Alps)

Cited by 36 publications

References 11 publications

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

O Tempora O Mores: Building an Epistemological Procedure for Modeling the Socio-anthropological Factors of Rural Neolithic Socio-ecological Systems: Stakes, Choices, Hypotheses, and Constraints

Anthropological Archaeology in 2013: The Search for Truth(s)

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