Transactions in GIS . vol 18 n° 3Paru le : 01/06/2014 ISBN/ISSN/EAN : 1361-1682 |
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Ajouter le résultat dans votre panierExploring mobility indoors : an application of sensor-based and GIS systems / Anastasia Petrenko in Transactions in GIS, vol 18 n° 3 (June 2014)
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Titre : Exploring mobility indoors : an application of sensor-based and GIS systems Type de document : Article/Communication Auteurs : Anastasia Petrenko, Auteur ; Anton Sizo, Auteur ; Winchel Qian, Auteur ; A.dylan Knowles, Auteur ; Amin Tavassolian, Auteur ; Kevin Stanley, Auteur ; Scott Bell, Auteur Année de publication : 2014 Article en page(s) : pp 351 - 369 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] mobilité urbaine
[Termes IGN] portage
[Termes IGN] positionnement en intérieur
[Termes IGN] positionnement par WiFi
[Termes IGN] réseau de capteurs
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The popularization of tracking devices, such as GPS, accelerometers and smartphones, have made it possible to detect, record, and analyze new patterns of human movement and behavior. However, employing GPS alone for indoor localization is not always possible due to the system's inability to determine location inside buildings or in places of signal occlusion. In this context, the application of local wireless networks for determining position is a promising alternative solution, although they still suffer from a number of limitations due to energy and IT-resources. Our research outlines the potential for employing indoor wireless network positioning and sensor-based systems to improve the collection of tracking data indoors. By applying various methods of GIScience, we developed a methodology that can be applicable for diverse human indoor mobility analysis. To show the advantage of the proposed method, we present the result of an experiment that included mobility analysis of 37 participants. We tracked their movements on a university campus over the course of 41 days and demonstrated that their movement behavior can be successfully studied with our proposed method. Numéro de notice : A2014-272 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12102 Date de publication en ligne : 13/06/2014 En ligne : https://doi.org/10.1111/tgis.12102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33175
in Transactions in GIS > vol 18 n° 3 (June 2014) . - pp 351 - 369[article]Mapping large spatial flow data with hierarchical clustering / Xi Zhu in Transactions in GIS, vol 18 n° 3 (June 2014)
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Titre : Mapping large spatial flow data with hierarchical clustering Type de document : Article/Communication Auteurs : Xi Zhu, Auteur ; Diansheng Guo, Auteur Année de publication : 2014 Article en page(s) : pp 421 - 435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de groupement
[Termes IGN] cartographie des flux
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données de flux
[Termes IGN] index spatial
[Termes IGN] segmentation sémantique
[Termes IGN] zone urbaineRésumé : (Auteur) It is challenging to map large spatial flow data due to the problem of occlusion and cluttered display, where hundreds of thousands of flows overlap and intersect each other. Existing flow mapping approaches often aggregate flows using predetermined high-level geographic units (e.g. states) or bundling partial flow lines that are close in space, both of which cause a significant loss or distortion of information and may miss major patterns. In this research, we developed a flow clustering method that extracts clusters of similar flows to avoid the cluttering problem, reveal abstracted flow patterns, and meanwhile preserves data resolution as much as possible. Specifically, our method extends the traditional hierarchical clustering method to aggregate and map large flow data. The new method considers both origins and destinations in determining the similarity of two flows, which ensures that a flow cluster represents flows from similar origins to similar destinations and thus minimizes information loss during aggregation. With the spatial index and search algorithm, the new method is scalable to large flow data sets. As a hierarchical method, it generalizes flows to different hierarchical levels and has the potential to support multi-resolution flow mapping. Different distance definitions can be incorporated to adapt to uneven spatial distribution of flows and detect flow clusters of different densities. To assess the quality and fidelity of flow clusters and flow maps, we carry out a case study to analyze a data set of 243,850 taxi trips within an urban area. Numéro de notice : A2014-273 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12100 Date de publication en ligne : 26/05/2014 En ligne : https://doi.org/10.1111/tgis.12100 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33176
in Transactions in GIS > vol 18 n° 3 (June 2014) . - pp 421 - 435[article]Knowledge and reasoning in spatial analysis / Andreas Hall in Transactions in GIS, vol 18 n° 3 (June 2014)
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Titre : Knowledge and reasoning in spatial analysis Type de document : Article/Communication Auteurs : Andreas Hall, Auteur ; Paula Ahonen-Rainio, Auteur ; Kirsi Virrantaus, Auteur Année de publication : 2014 Article en page(s) : pp 464 - 476 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatiale
[Termes IGN] analyse visuelle
[Termes IGN] cognition
[Termes IGN] graphe
[Termes IGN] mobilité urbaine
[Termes IGN] processus
[Termes IGN] raisonnement spatialRésumé : (Auteur) Reasoning is an essential part of any analysis process. Especially in visual analytics, the quality of the results depends heavily on the knowledge and reasoning skills of the analyst. In this study, we consider how to make the results transparent by visualizing the reasoning and the knowledge, so that persons from outside can trace and verify them. The focus of this study is in spatial analysis and a case study was carried out on a process of off-road mobility analysis. In the case study, linked views of a map and a PCP were identified as reasoning artifacts. The knowledge used by the analyst was formed by these artifacts and the tangible pieces of information identified in them, along with the mental models of the analyst's mind. To make the results transparent, the tangible pieces of information were marked with sketches and the mental models were presented in causal graphs because it was found that causality was central to the reasoning process in the case study. The causal graph allows the reasoning of the analyst to be studied, as well as traced back to its origin. Numéro de notice : A2014-274 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12049 Date de publication en ligne : 14/08/2013 En ligne : https://doi.org/10.1111/tgis.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33177
in Transactions in GIS > vol 18 n° 3 (June 2014) . - pp 464 - 476[article]