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Mapping changes of residence with passive mobile positioning data : the case of Estonia / Pilleriine Kamenjuk in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1425 - 1447 Titre : Mapping changes of residence with passive mobile positioning data : the case of Estonia Type de document : Article/Communication Auteurs : Pilleriine Kamenjuk, Auteur ; Anto Aasa, Auteur ; Jaanus Sellin, Auteur Année de publication : 2017 Article en page(s) : pp 1425 - 1447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Estonie [Termes IGN] géovisualisation [Termes IGN] habitat individuel [Termes IGN] migration pendulaire [Termes IGN] mobilité humaine [Termes IGN] surveillance [Termes IGN] téléphonie mobile [Termes IGN] trace GPS Résumé : (Auteur) Similar to every process involving quantitative research, the study of migration heavily depends on the data available for analysis. The available movement data limit the type of questions that can be asked, and as a result, certain aspects of human spatial mobility have yet to be examined. The development of information and communication technologies and their widespread adoption offers new datasets, methods and interpretations that make it possible to study social processes at a new level. For example, mobile positioning data can aid in overcoming certain constraints embedded in traditional data sources (such as censuses or questionnaires) for study of the connections between daily mobility and change of residence. This study presents a framework for mapping changes of residence using data from passive mobile positioning and an anchor point model to better understand the limits of these methods and their contribution to understanding long-term mobility. The study concludes that the most important considerations in monitoring change of residence using passive mobile position data include the continuity of the time-series data, the varying structure of the mobile tower network and the diversified nature of human mobility. The fine spatial and temporal granularities of passive mobile positioning data allow us to study human movement at a detailed scale. Numéro de notice : A2017-307 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1295308 En ligne : http://dx.doi.org/10.1080/13658816.2017.1295308 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85354 [article]

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