Roberto Hazenfratz, Guilherme Z. Mongeló, Casimiro S. Munita, Eduardo G. Neves
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The concentrations of nine chemical elements (La, Lu, Yb, Ce, Cr, Eu, Fe, Sc, and Th) measured by instrumental neutron activation analysis (INAA) were subjected to alr transformation, prior to chemical fingerprinting by cluster analysis (CA) and principal component analysis (PCA). The results were compared to a previous work using the log<sub>10</sub> transformation. Multivariate analysis of variance (MANOVA) was employed to test for statistical differences between the chemical groups, and self-organizing maps (SOMs), a type of artificial neural network, were used for comparison due to their advantage of not depending on any specific data distribution assumption. In general, the results suggest the existence of socio-cultural interactions between Lago Grande and Osvaldo, which could have occurred through trade, exogamic marriage and territory sharing. In a broader perspective, the exchange networks corroborated by the results favor theories that minimize the role of ecological constraints in the emergence of social complexity and sedentary occupations in the Amazon region.</p>","PeriodicalId":8214,"journal":{"name":"Archaeological and Anthropological Sciences","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of log-ratio and log10 chemical elemental data analysis of Central Amazonian pottery and archaeological implications\",\"authors\":\"Roberto Hazenfratz, Guilherme Z. Mongeló, Casimiro S. Munita, Eduardo G. 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The concentrations of nine chemical elements (La, Lu, Yb, Ce, Cr, Eu, Fe, Sc, and Th) measured by instrumental neutron activation analysis (INAA) were subjected to alr transformation, prior to chemical fingerprinting by cluster analysis (CA) and principal component analysis (PCA). The results were compared to a previous work using the log<sub>10</sub> transformation. Multivariate analysis of variance (MANOVA) was employed to test for statistical differences between the chemical groups, and self-organizing maps (SOMs), a type of artificial neural network, were used for comparison due to their advantage of not depending on any specific data distribution assumption. In general, the results suggest the existence of socio-cultural interactions between Lago Grande and Osvaldo, which could have occurred through trade, exogamic marriage and territory sharing. In a broader perspective, the exchange networks corroborated by the results favor theories that minimize the role of ecological constraints in the emergence of social complexity and sedentary occupations in the Amazon region.</p>\",\"PeriodicalId\":8214,\"journal\":{\"name\":\"Archaeological and Anthropological Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archaeological and Anthropological Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s12520-024-01965-y\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archaeological and Anthropological Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s12520-024-01965-y","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Comparison of log-ratio and log10 chemical elemental data analysis of Central Amazonian pottery and archaeological implications
The additive log-ratio (alr) transformation is recommended as one of the most robust data transformations for multivariate analysis of archaeometric compositional data. However, alr and other transformations are not mutually exclusive and can be combined to assess different aspects of an archaeometric data set, such as the addition of temper, post-depositional effects in pottery and associated archaeological implications. This study presents a comparative analysis of a multi-element data set of pottery from Lago Grande and Osvaldo archaeological sites in the Central Amazon, which are considered a microcosm of the region. The concentrations of nine chemical elements (La, Lu, Yb, Ce, Cr, Eu, Fe, Sc, and Th) measured by instrumental neutron activation analysis (INAA) were subjected to alr transformation, prior to chemical fingerprinting by cluster analysis (CA) and principal component analysis (PCA). The results were compared to a previous work using the log10 transformation. Multivariate analysis of variance (MANOVA) was employed to test for statistical differences between the chemical groups, and self-organizing maps (SOMs), a type of artificial neural network, were used for comparison due to their advantage of not depending on any specific data distribution assumption. In general, the results suggest the existence of socio-cultural interactions between Lago Grande and Osvaldo, which could have occurred through trade, exogamic marriage and territory sharing. In a broader perspective, the exchange networks corroborated by the results favor theories that minimize the role of ecological constraints in the emergence of social complexity and sedentary occupations in the Amazon region.
期刊介绍:
Archaeological and Anthropological Sciences covers the full spectrum of natural scientific methods with an emphasis on the archaeological contexts and the questions being studied. It bridges the gap between archaeologists and natural scientists providing a forum to encourage the continued integration of scientific methodologies in archaeological research.
Coverage in the journal includes: archaeology, geology/geophysical prospection, geoarchaeology, geochronology, palaeoanthropology, archaeozoology and archaeobotany, genetics and other biomolecules, material analysis and conservation science.
The journal is endorsed by the German Society of Natural Scientific Archaeology and Archaeometry (GNAA), the Hellenic Society for Archaeometry (HSC), the Association of Italian Archaeometrists (AIAr) and the Society of Archaeological Sciences (SAS).