New Spain through the Lens of Spatial Humanities: The Case of the Bishopric of Michoacán.

  • Published In: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities, 2024, v. 18, n. 2. P. 167 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Vázquez, Mariana Favila; Lefebvre, Karine; Torres, Pedro Sergio Urquijo; Chávez, Carlos Ernesto Rangel; Pérez, Estefanía Santoyo 3 of 3

Abstract

This article provides an overview of the development of spatial humanities in Mexico, focusing specifically on the Bishopric of Michoacán. This ecclesiastical and jurisdictional unit, established during the Viceroyalty of New Spain, has recently been examined through the lens of spatial humanities. Our review identifies that this approach, when combined with traditional historical methods, can be highly effective in advancing research on territorial reconfiguration processes involving both Spanish and Indigenous actors. Furthermore, we present two examples of geographical text analysis (GTA) applied to the Relaciones Geográficas of Michoacán. Building on this review and the examples, we aim to encourage researchers interested in Mexico's past to enhance the potential of early historical sources by extracting valuable information intertwined with the spatial data contained in these documents. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Humanities & Arts Computing: A Journal of Digital Humanities. 2024/10, Vol. 18, Issue 2, p167
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1753-8548
  • DOI:10.3366/ijhac.2024.0331
  • Accession Number:180251725
  • Copyright Statement:Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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