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Determinants of Appalachian Identity: Using Vernacular Traces to Study Cultural Geographies of an American Region

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  • Russell Weaver
  • Chris Holtkamp

Abstract

This article uses data on two vernacular traces, toponyms and business names, to explore and analyze cultural geographies of the U.S. Appalachian region. First, cluster detection is applied to a set of generic place names (toponyms) that are found to be components of a relatively unique Appalachian geographic vernacular. The results from this exercise are then mapped onto common spatial representations of the Appalachian region, where they are combined with a selected marker of perceived regional identity—businesses that have the character string “Appalachia” in their name—to construct a study area for subsequent analysis. Finally, data are collected for places inside of the derived study area to examine determinants of Appalachian identity in a zero-inflated count regression model. The findings convey important insights about specific heritage and environmental variables that correlate with, and likely contribute to the production of, patterns of Appalachian identity in the United States. In addition, the conceptual model and methodology of the article are claimed to be transferrable to other studies of cultural regions, heritage, and identity, both inside and outside of Appalachia.

Suggested Citation

  • Russell Weaver & Chris Holtkamp, 2016. "Determinants of Appalachian Identity: Using Vernacular Traces to Study Cultural Geographies of an American Region," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(1), pages 203-221, January.
  • Handle: RePEc:taf:raagxx:v:106:y:2016:i:1:p:203-221
    DOI: 10.1080/00045608.2015.1090266
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    Cited by:

    1. Daniel Oto-Peralías, 2018. "What do street names tell us? The ‘city-text’ as socio-cultural data," Journal of Economic Geography, Oxford University Press, vol. 18(1), pages 187-211.
    2. Oto-Peralías, Daniel & Gutiérrez Mora, Dolores, 2021. "Gendered cities: Studying urban gender bias through street names," OSF Preprints b9n4k, Center for Open Science.
    3. Dolores Gutiérrez-Mora & Daniel Oto-Peralías, 2022. "Gendered cities: Studying urban gender bias through street names," Environment and Planning B, , vol. 49(6), pages 1792-1809, July.

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