Transactions in GIS . vol 22 n° 4Paru le : 01/08/2018 |
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Ajouter le résultat dans votre panierA spatial analysis of non‐English Twitter activity in Houston, TX / Matthew Haffner in Transactions in GIS, vol 22 n° 4 (August 2018)
[article]
Titre : A spatial analysis of non‐English Twitter activity in Houston, TX Type de document : Article/Communication Auteurs : Matthew Haffner, Auteur Année de publication : 2018 Article en page(s) : pp 913 - 929 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] Houston (Texas)
[Termes IGN] langage naturel (informatique)
[Termes IGN] régression
[Termes IGN] TwitterRésumé : (Auteur) The use of social media data in geographic studies has become common, yet the question of social media's validity in such contexts is often overlooked. Social media data suffers from a variety of biases and limitations; nevertheless, with a proper understanding of the drawbacks, these data can be powerful. As cities seek to become “smarter,” they can potentially use social media data to creatively address the needs of their most vulnerable groups, such as ethnic minorities. However, questions remain unanswered regarding who uses these social networking platforms, how people use these platforms, and how representative social media data is of users' everyday lives. Using several forms of regression, I explore the relationships between a conventional data source (the U.S. Census) and a subset of Twitter data potentially representative of minority groups: tweets created by users with an account language other than English. A considerable amount of non‐stationarity is uncovered, which should serve as a warning against sweeping statements regarding the demographics of users and where people prefer to post. Further, I find that precisely located Twitter data informs us more about the digital status of places and less about users' day‐to‐day travel patterns. Numéro de notice : A2018-574 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12335 Date de publication en ligne : 11/04/2018 En ligne : https://doi.org/10.1111/tgis.12335 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92320
in Transactions in GIS > vol 22 n° 4 (August 2018) . - pp 913 - 929[article]Interplay between urban communities and human‐crowd mobility: A study using contributed geospatial data sources / Mohammad Forghani in Transactions in GIS, vol 22 n° 4 (August 2018)
[article]
Titre : Interplay between urban communities and human‐crowd mobility: A study using contributed geospatial data sources Type de document : Article/Communication Auteurs : Mohammad Forghani, Auteur ; Farid Karimipour, Auteur Année de publication : 2018 Article en page(s) : pp 1008 - 1028 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées numériques
[Termes IGN] Milan
[Termes IGN] mobilité urbaine
[Termes IGN] origine - destinationRésumé : (Auteur) An intense process of urbanization, witnessed particularly in the last decade, has stressed the need to comprehend human mobility behavior in urban settings. Although the emergence of contributed geospatial data (i.e., pervasive activity‐based data) has contributed to substantial progress toward understanding human activity, the relationship between human‐crowd mobility and the functional structure of a city is not yet well understood. In this context, the present research focuses on the intra‐urban origin–destination matrix modeling founded on a combination of two major crowdsourced datasets as well as the inclusion of urban communities’ structure. Specifically, the well‐known “radiation” and “PWO” models were modified through first, identifying the communities embedded in the cyberspace network then employing the identified hierarchical structure of the spatial‐interaction network for the formulation of the users’ movement network and second, imposing proper input variables including the telecommunication activity volume and check‐in frequency. The results obtained by various empirical analyses suggest that the modified community‐constrained origin–destination flow estimation models exhibit better performance levels than those of alternative conventional mobility models. Numéro de notice : A2018-575 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12465 Date de publication en ligne : 28/08/2018 En ligne : https://doi.org/10.1111/tgis.12465 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92321
in Transactions in GIS > vol 22 n° 4 (August 2018) . - pp 1008 - 1028[article]