Articles producció científica> Geografia

A visual data analysis for determining the geographical extent of the cabreves

  • Datos identificativos

    Identificador: imarina:9156121
    Handle: http://hdl.handle.net/20.500.11797/imarina9156121
  • Autores:

    Zaragozí B
    Giménez-Font P
  • Otros:

    Autor según el artículo: Zaragozí B; Giménez-Font P
    Departamento: Geografia
    Autor/es de la URV: Zaragozí Zaragozí, Benito Manuel
    Palabras clave: Text-mining Historical cadastre Hgis Geoparsing Digital archives Data visualization
    Resumen: © 2020 Elsevier Masson SAS The historical cadastral archives are an important source of information to help understand our cultural heritage since they contain a trace of the activities, land uses, and buildings developed by people from different periods. However, in the era of Big Data there remain many historical documents of great value that have not been digitized or studied in depth. This is the case of the cabreves, which are precatastral documents used for centuries in several regions of Spain to document those properties that were subject to the payment of taxes to a feudal lord. Rescuing these data would enable studying the landscape structure of relatively recent dates for which there is no cadastral cartography. However, it is difficult to establish the state of conservation, degree of accessibility, content detail, and quality of the archived cabreves. In recent years, progress has been made in digitizing these sources. In Spain, the Spanish Archives Portal (PARES) harmonizes and unifies the efforts of national archives, and a significant number of documents have been archived in recent years. We use text mining techniques to analyze and map the records in which cabreves appear. Out of the 1752 records found, a total of 1408 cabreves have been geocoded and mapped, enabling us to establish which territories and periods can be studied using these sources. From this experience, we request that digital archives maintain a geographical perspective during archival appraisal.
    Grupo de investigación: GRATET. Anàlisi Territorial i Estudis Turístics
    Áreas temáticas: Spectroscopy Materials science, multidisciplinary Materials science (miscellaneous) Interdisciplinar History Historia Geosciences, multidisciplinary General economics,econometrics and finance Engenharias ii Engenharias i Economics, econometrics and finance (miscellaneous) Economics, econometrics and finance (all) Conservation Comunicação e informação Computer science applications Ciencias sociales Ciencias humanas Ciências ambientais Ciência da computação Chemistry, analytical Chemistry (miscellaneous) Biotecnología Astronomia / física Arts Art and art history Art Archeology (arts and humanities) Archaeology Antropologia / arqueologia Antropología Anthropology
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: benito.zaragozi@urv.cat
    Identificador del autor: 0000-0003-2501-484X
    Fecha de alta del registro: 2023-02-19
    Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S1296207420305112?via%3Dihub
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Cultural Heritage. 48 141-152
    Referencia de l'ítem segons les normes APA: Zaragozí B; Giménez-Font P (2021). A visual data analysis for determining the geographical extent of the cabreves. Journal Of Cultural Heritage, 48(), 141-152. DOI: 10.1016/j.culher.2020.11.015
    DOI del artículo: 10.1016/j.culher.2020.11.015
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Anthropology,Archaeology,Archeology (Arts and Humanities),Art,Chemistry (Miscellaneous),Chemistry, Analytical,Computer Science Applications,Conservation,Economics, Econometrics and Finance (Miscellaneous),Geosciences, Multidisciplinary,History,Materials Science (Miscellaneous),Materials Science, Multidisciplinary,Spectroscopy
    Text-mining
    Historical cadastre
    Hgis
    Geoparsing
    Digital archives
    Data visualization
    Spectroscopy
    Materials science, multidisciplinary
    Materials science (miscellaneous)
    Interdisciplinar
    History
    Historia
    Geosciences, multidisciplinary
    General economics,econometrics and finance
    Engenharias ii
    Engenharias i
    Economics, econometrics and finance (miscellaneous)
    Economics, econometrics and finance (all)
    Conservation
    Comunicação e informação
    Computer science applications
    Ciencias sociales
    Ciencias humanas
    Ciências ambientais
    Ciência da computação
    Chemistry, analytical
    Chemistry (miscellaneous)
    Biotecnología
    Astronomia / física
    Arts
    Art and art history
    Art
    Archeology (arts and humanities)
    Archaeology
    Antropologia / arqueologia
    Antropología
    Anthropology
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