{"title":"Series: Elements in Current Archaeological Tools and Techniques","description":null,"products":[{"product_id":"archaeoastronomy-by-a-cesar-gonzalez-garcia-9781009639361","title":"Archaeoastronomy","description":"How does archaeoastronomy assist archaeologists in comprehending the past of human societies? Archaeoastronomy is an interdisciplinary field that combines scientific principles and astronomical measurements to enhance our understanding of ancient cultures. Its interdisciplinary character appears by blending areas of the natural sciences, such as astronomy, physics, mathematics, and even geology or biology, with others of the social sciences and humanities, such as archaeology, history, prehistory, geography, or anthropology. Throughout this Element we are going to see what archaeoastronomy is about, how it works, and what topics it is applied to, for which we are going to introduce a series of concepts from astronomy, mathematics, and other disciplines.","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933826957548,"sku":"9781009639361","price":234.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009639361-archaeoastronomy.jpg?v=1783880816"},{"product_id":"determining-provenance-from-compositional-data-by-denisse-l-argote-9781009634168","title":"Determining Provenance from Compositional Data","description":"Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences made. This Element reconsiders the use of statistical methods to address the problem of provenance analysis of archaeological materials using a step-by-step procedure that allows the recognition of natural groups in the data, thus obtaining better quality classifications while avoiding the problems of total or partial overlaps in the chemical groups (common in biplots). To evaluate the methods proposed here, the challenge of group search in ceramic materials is addressed using algorithms derived from model-based clustering. For cases with partial data labeling, a semi-supervised algorithm is applied to obsidian samples.","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933953474796,"sku":"9781009634168","price":214.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009634168-determining-provenance-from-compositional-data.jpg?v=1783887505"},{"product_id":"determining-provenance-from-compositional-data-by-denisse-l-argote-9781009634175","title":"Determining Provenance from Compositional Data","description":"Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences made. This Element reconsiders the use of statistical methods to address the problem of provenance analysis of archaeological materials using a step-by-step procedure that allows the recognition of natural groups in the data, thus obtaining better quality classifications while avoiding the problems of total or partial overlaps in the chemical groups (common in biplots). To evaluate the methods proposed here, the challenge of group search in ceramic materials is addressed using algorithms derived from model-based clustering. For cases with partial data labeling, a semi-supervised algorithm is applied to obsidian samples.","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933953507564,"sku":"9781009634175","price":74.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009634175-determining-provenance-from-compositional-data.jpg?v=1783887522"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-elements-in-current-archaeological-tools-and-techniques.oembed","provider":"Book Hero","version":"1.0","type":"link"}