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Geospatial big data and archaeology: Prospects and problems too great to ignore / Mark D. McCoy in Journal of archaeological science, vol 84 (August 2017)  

Public [article]  inJournal of archaeological science > vol 84 (August 2017) Titre : Geospatial big data and archaeology: Prospects and problems too great to ignore Type de document : Article/Communication Auteurs : Mark D. McCoy, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] archéologie [Termes IGN] archéométrie [Termes IGN] données localisées [Termes IGN] données massives [Termes IGN] métadonnées [Termes IGN] Nouvelle-Zélande [Termes IGN] protection de la vie privée [Termes IGN] qualité des données Résumé : (auteur) As spatial technology has evolved and become integrated in to archaeology, we face a new set of challenges posed by the sheer size and complexity of data we use and produce. In this paper I discuss the prospects and problems of Geospatial Big Data (GBD) – broadly defined as data sets with locational information that exceed the capacity of widely available hardware, software, and/or human resources. While the datasets we create today remain within available resources, we nonetheless face the same challenges as many other fields that use and create GBD, especially in apprehensions over data quality and privacy. After reviewing the kinds of archaeological geospatial data currently available I discuss the near future of GBD in writing culture histories, making decisions, and visualizing the past. I use a case study from New Zealand to argue for the value of taking a data quantity-in-use approach to GBD and requiring applications of GBD in archaeology be regularly accompanied by a Standalone Quality Report. Numéro de notice : A2017-387 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.jas.2017.06.003 En ligne : https://doi.org/10.1016/j.jas.2017.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85816 [article]