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Macro- and microscopic plant remains recovered from excavations at Teotihuacan over several decades contribute to an understanding of the subsistence resources available to the city’s inhabitants. However, associated contextual evidence may be inconclusive regarding the specific uses of the plants in question and, particularly, whether their presence or relative abundance indicates processing and consumption or the consequence of depositional processes. While the analysis of archeological plant remains is necessarily an interdisciplinary endeavor, involving aspects of botany, ecology, ethnography and history among other disciplines, contextual archeological evidence provides the matrix for interpretation. In this paper, we explore direct archeological evidence for plant use, considering the significance of appropriate contextual evidence (e.g., activity areas, associated ceramics, lithics, etc.) and the potential complementary role of analytical techniques such as residue analyses, and carbon isotope signatures in faunal and human osteological remains as well as stratigraphic sediments.  相似文献   
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Social scientists, geographers, criminologists, and health scientists are often tasked with finding data to best capture the impact of “community context” on individual outcomes, including residential services, physical resources, and social institutions. One outlet for such data in Canada is Digital Map Technologies Inc. (DMTI) Spatial, which offers a national repository of over one million businesses and recreational points of interest. The database is generated through CanMap Streetfiles, which includes geocodes of each point's precise location. These data are available to researchers from their university data library and Esri Canada, but primarily available to private sector and government markets. That said, the goal of the current paper is to encourage researchers to access this rich yet under-utilized data source. Each service, business, or resource in the DMTI Spatial database is assigned to a respective category using Standard Industrial Classification codes and North American Industrial Classification System codes. It is not clear, however, which is the more reliable coding criteria. We provide an overview of our review of DMTI Spatial data and take-away suggestions for using this valuable resource for future research on meso-level residential markers.  相似文献   
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