Articles producció científica> Altres Òrgans de Gestió

Integrating legacy survey data into GIS-based analysis: The rediscovery of the archaeological landscapes in Grevena (Western Macedonia, Greece)

  • Identification data

    Identifier: imarina:9362448
    Authors:
    Apostolou, GVenieri, KMayoral, ADimaki, SGarcia-Molsosa, AGeorgiadis, MOrengo, HA
    Abstract:
    Surface archaeological survey has been widely established as the principal method for the regional study of Mediterranean diachronic landscapes. Before the introduction of GPS and digital, GIS-based recordings in the late 1990s, survey projects employed analogue recording strategies (e.g. personal notebooks, printed forms and cartographic materials) resulting in low-precision spatial datasets. These archives, termed here as legacy survey data, can today be visualized and analysed using computational tools. The aim of the present work is to exemplify how legacy data can be reused and reproduced to explore unknown aspects of past survey projects. It showcases a multi-source, GIS-structured workflow to manage and re-evaluate data from the region of Grevena, north-western Greece, where a largely unpublished all-period extensive survey titled the Grevena Project has pinpointed a rich, yet unavailable to the archaeological community cultural record. The publications lacked critical evaluation of the survey results and significance, such as accurate site locations, size and chronology as well as a description of the field collection strategies used. To recover and combine these data into a single geodataset, a three-step workflow was created, including the systematic recording of collected artefacts, the deployment of archival and remote-sensing resources (e.g. georeferenced cartographic and photographic materials and satellite imagery) and the development of a new extensive survey in selected areas for validation purposes. Results indicated heterogeneity in the techniques employed by the Grevena Project for site recognition. They also brought an important assemblage of Palaeolithic finds unrecorded before. Furthermore, large-scale geomorphological analysis using geomorphometr
  • Others:

    Author, as appears in the article.: Apostolou, G; Venieri, K; Mayoral, A; Dimaki, S; Garcia-Molsosa, A; Georgiadis, M; Orengo, HA
    Department: Altres organs de gestió
    URV's Author/s: Venieri, Konstantina / Apostolou, Giannis
    Keywords: Settlements Project Lidar Legacy data Landscape archaeology Land-use Grevena (greece) Gis-based analysis Georeferencing Bronze-age Archaeological survey
    Abstract: Surface archaeological survey has been widely established as the principal method for the regional study of Mediterranean diachronic landscapes. Before the introduction of GPS and digital, GIS-based recordings in the late 1990s, survey projects employed analogue recording strategies (e.g. personal notebooks, printed forms and cartographic materials) resulting in low-precision spatial datasets. These archives, termed here as legacy survey data, can today be visualized and analysed using computational tools. The aim of the present work is to exemplify how legacy data can be reused and reproduced to explore unknown aspects of past survey projects. It showcases a multi-source, GIS-structured workflow to manage and re-evaluate data from the region of Grevena, north-western Greece, where a largely unpublished all-period extensive survey titled the Grevena Project has pinpointed a rich, yet unavailable to the archaeological community cultural record. The publications lacked critical evaluation of the survey results and significance, such as accurate site locations, size and chronology as well as a description of the field collection strategies used. To recover and combine these data into a single geodataset, a three-step workflow was created, including the systematic recording of collected artefacts, the deployment of archival and remote-sensing resources (e.g. georeferenced cartographic and photographic materials and satellite imagery) and the development of a new extensive survey in selected areas for validation purposes. Results indicated heterogeneity in the techniques employed by the Grevena Project for site recognition. They also brought an important assemblage of Palaeolithic finds unrecorded before. Furthermore, large-scale geomorphological analysis using geomorphometric approaches demonstrated an irregularly high density of sites in elevated areas, which is considered a surveying bias. Remote sensing sources including archival aerial photographs highlighted regional landscape changes (e.g. in forest coverage) revealing architectural remains unmapped before. Finally, the new survey around Ayios Georgios showed the discovery of several new sites, emphasizing a case study of much more complex dynamics than originally considered during the Grevena Project.
    Thematic Areas: History Historia Geosciences, multidisciplinary Ciencias sociales Ciencias humanas Ciências biológicas i Archeology Archaeology
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: konstantina.venieri@estudiants.urv.cat
    Record's date: 2024-02-17
    Papper version: info:eu-repo/semantics/publishedVersion
    Papper original source: Archaeological Prospection.
    APA: Apostolou, G; Venieri, K; Mayoral, A; Dimaki, S; Garcia-Molsosa, A; Georgiadis, M; Orengo, HA (2024). Integrating legacy survey data into GIS-based analysis: The rediscovery of the archaeological landscapes in Grevena (Western Macedonia, Greece). Archaeological Prospection, (), -. DOI: 10.1002/arp.1926
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    Archaeology,Archeology,Geosciences, Multidisciplinary,History
    Settlements
    Project
    Lidar
    Legacy data
    Landscape archaeology
    Land-use
    Grevena (greece)
    Gis-based analysis
    Georeferencing
    Bronze-age
    Archaeological survey
    History
    Historia
    Geosciences, multidisciplinary
    Ciencias sociales
    Ciencias humanas
    Ciências biológicas i
    Archeology
    Archaeology
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