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Measuring and mapping long-term changes in migration flows using population-scale family tree data / Caglar Koylu in Cartography and Geographic Information Science, vol 49 n° 2 (March 2022)  

Public [article]  inCartography and Geographic Information Science > vol 49 n° 2 (March 2022) . - pp 154 - 170 Titre : Measuring and mapping long-term changes in migration flows using population-scale family tree data Type de document : Article/Communication Auteurs : Caglar Koylu, Auteur ; Alice Kasakoff, Auteur Année de publication : 2022 Article en page(s) : pp 154 - 170 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse diachronique [Termes IGN] cartographie des flux [Termes IGN] données localisées des bénévoles [Termes IGN] Etats-Unis [Termes IGN] généalogie [Termes IGN] histoire [Termes IGN] migration humaine [Termes IGN] origine - destination [Termes IGN] représentation du changement Résumé : (auteur) Studying migration over a long period is challenging due to lack of data, uneven data quality, and the methodological challenges that arise when analyzing migration over large geographic areas and long time spans with constantly changing political boundaries. Crowd-sourced family tree data are an untapped source of volunteered geographic information generated by millions of users. These trees contain information on individuals such as birth and death places and years, and kinship ties, and have the potential to support analysis of population dynamics and migration over many generations and far into the past. In this article, we introduce a methodology to measure and map long-term changes in migration flows using a population-scale family-tree data set. Our methodology includes many steps such as extracting migration events, temporal periodization, gravity normalization, and producing time-series flow maps. We study internal migration in the continental United States between 1789 and 1924 using birthplaces and birthyears of children from a cleaned, geocoded, and connected set of family trees from Rootsweb.com. To the best of our knowledge, the results are the first migration flow maps that show how the internal migration flows within the U.S. changed over such a long period of time (i.e. 135 years). Numéro de notice : A2022-138 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2021.2011419 Date de publication en ligne : 19/01/2022 En ligne : https://doi.org/10.1080/15230406.2021.2011419 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99759 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2022021	SL	Revue	Centre de documentation	Revues en salle	Disponible