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Modeling use of space from social media data using a biased random walker / Steven D. Prager in Transactions in GIS, vol 18 n° 6 (December 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 6 (December 2014) . - pp 817 – 833 Titre : Modeling use of space from social media data using a biased random walker Type de document : Article/Communication Auteurs : Steven D. Prager, Auteur ; Paul Wiegand, Auteur Année de publication : 2014 Article en page(s) : pp 817 – 833 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] comportement [Termes IGN] données socio-économiques [Termes IGN] environnement [Termes IGN] modélisation spatiale [Termes IGN] navigation pédestre [Termes IGN] New York (Etats-Unis ; ville) Résumé : (Auteur) Individuals and other entities move through space as a function of local characteristics of place, their internal behavioral models, and the topological structure of the underlying space. When a collection of locations (i.e. geotagged photos or other geotagged social media information) from a large number of individuals is assembled, it becomes possible to understand the interrelationship between the individuals and the space they occupy. This research systematically considers this interrelationship through an examination of the effect of the intersection of behavioral and spatial characteristics on individuals moving on street networks. The research illustrates how social media data, in combination with a biased random walker, can be used to understand and model the interaction of spatial structure and social-environmental factors on influencing individuals' use of their environment. The biased walker offers a flexible approach to incorporate consideration of both social-environmental and structural factors into a model and we demonstrate this through a case study wherein we are able to use the random walker to model the characteristics of Flickr users in New York City. Numéro de notice : A2014-572 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12069 Date de publication en ligne : 18/11/2013 En ligne : https://doi.org/10.1111/tgis.12069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74762 [article]

Evolutionary search for understanding movement dynamics on mixed networks / William M. Spears in Geoinformatica, vol 17 n° 2 (April 2013)  

Public [article]  inGeoinformatica > vol 17 n° 2 (April 2013) . - pp 353 - 385 Titre : Evolutionary search for understanding movement dynamics on mixed networks Type de document : Article/Communication Auteurs : William M. Spears, Auteur ; Steven D. Prager, Auteur Année de publication : 2013 Article en page(s) : pp 353 - 385 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] algorithme évolutionniste [Termes IGN] données localisées [Termes IGN] données localisées dynamiques [Termes IGN] navigation [Termes IGN] raisonnement [Termes IGN] recherche d'information géographique Résumé : (Auteur) This paper describes an approach to using evolutionary algorithms for reasoning about paths through network data. The paths investigated in the context of this research are functional paths wherein the characteristics (e.g., path length, morphology, location) of the path are integral to the objective purpose of the path. Using two datasets of combined surface and road networks, the research demonstrates how an evolutionary algorithm can be used to reason about functional paths. We present the algorithm approach, the parameters and fitness function that drive the functional aspects of the path, and an approach for using the algorithm to respond to dynamic changes in the search space. The results of the search process are presented in terms of the overall success based on the response of the search to variations in the environment and through the use of an occupancy grid characterizing the overall search process. The approach offers a great deal of flexibility over more conventional heuristic path finding approaches and offers additional perspective on dynamic network analysis. Numéro de notice : A2013-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-012-0155-x Date de publication en ligne : 11/04/2012 En ligne : https://doi.org/10.1007/s10707-012-0155-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32301 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible