Descripteur
Termes IGN > informatique > base de données > base de données orientée objet > base de données d'objets mobiles > objet mobile
objet mobileSynonyme(s)objet en mouvement |
Documents disponibles dans cette catégorie (112)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Detecting and analyzing mobility hotspots using surface networks / Y. Hu in Transactions in GIS, vol 18 n° 6 (December 2014)
[article]
Titre : Detecting and analyzing mobility hotspots using surface networks Type de document : Article/Communication Auteurs : Y. Hu, Auteur ; Harvey J. Miller, Auteur ; X. Li, Auteur Année de publication : 2014 Article en page(s) : pp 911 – 935 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] estimation par noyau
[Termes IGN] mobilité humaine
[Termes IGN] objet mobile
[Termes IGN] Shanghai (Chine)
[Termes IGN] théorie des graphes
[Termes IGN] topologieRésumé : (Auteur) Capabilities for collecting and storing data on mobile objects have increased dramatically over the past few decades. A persistent difficulty is summarizing large collections of mobile objects. This article develops methods for extracting and analyzing hotspots or locations with relatively high levels of mobility activity. We use kernel density estimation (KDE) to convert a large collection of mobile objects into a smooth, continuous surface. We then develop a topological algorithm to extract critical geometric features of the surface; these include critical points (peaks, pits and passes) and critical lines (ridgelines and course-lines). We connect the peaks and corresponding ridgelines to produce a surface network that summarizes the topological structure of the surface. We apply graph theoretic indices to analytically characterize the surface and its changes over time. To illustrate our approach, we apply the techniques to taxi cab data collected in Shanghai, China. We find increases in the complexity of the hotspot spatial distribution during normal activity hours in the late morning, afternoon and evening and a spike in the connectivity of the hotspot spatial distribution in the morning as taxis concentrate on servicing travel to work. These results match with scientific and anecdotal knowledge about human activity patterns in the study area. Numéro de notice : A2014-577 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12076 Date de publication en ligne : 17/02/2014 En ligne : https://doi.org/10.1111/tgis.12076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74767
in Transactions in GIS > vol 18 n° 6 (December 2014) . - pp 911 – 935[article]
[article]
Titre : Group spatiotemporal pattern queries Type de document : Article/Communication Auteurs : M. Sakr, Auteur ; Ralf Hartmut Güting, Auteur Année de publication : 2014 Article en page(s) : pp 699-746 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] base de données orientée objet
[Termes IGN] comportement
[Termes IGN] objet mobile
[Termes IGN] requête spatiotemporelleRésumé : (Auteur) Group spatiotemporal patterns are certain formations, in space and time, shown by groups of moving objects, such as flocks, concurrence, encounter, etc. A large number of recent applications focus on the collective behavior of moving objects, rather than the individual movements. Therefore finding such groups in moving object databases is crucial. There exist, in the literature, smart algorithms for matching some of these patterns. These solutions, however, address specific patterns and require specialized data representation and indexes. They share too little to be integrated into a single system. There is a need for a generic query method that allows users to fill in pattern descriptions, and retrieve the set of matches. In this paper, we propose generic query operators that can consistently express and match a wide range of group spatiotemporal patterns. We formally define these operators, illustrate the evaluation algorithms, and discuss the issues of their integration with moving object database (MOD) systems. These operators have been implemented in the context of Secondo MOD system, and the implementation is available online as open source. Several examples are given to showcase the expressive power of the operators. We have made available scripts that can be invoked from the Secondo interface to automatically repeat some of the experiments in this paper. Numéro de notice : A2014-460 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0198-7 Date de publication en ligne : 19/01/2014 En ligne : https://doi.org/10.1007/s10707-013-0198-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74032
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 699-746[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Time-geographic derivation of feasible co-presence opportunities from network-constrained episodic movement data / Mathias Versichele in Transactions in GIS, vol 18 n° 5 (October 2014)
[article]
Titre : Time-geographic derivation of feasible co-presence opportunities from network-constrained episodic movement data Type de document : Article/Communication Auteurs : Mathias Versichele, Auteur ; T. Neutens, Auteur ; Manuel Claeys Boùùaert, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 687 – 703 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Bluetooth
[Termes IGN] capteur passif
[Termes IGN] implémentation (informatique)
[Termes IGN] milieu urbain
[Termes IGN] objet mobile
[Termes IGN] réseau routierRésumé : (Auteur) Certain datasets on moving objects are episodic in nature – that is, the data is characterized by time gaps during which the position of the object is unknown. In this article, a model is developed to study the sparsely sampled network-constrained movement of several objects by calculating both potential and feasible (i.e. more likely) co-presence opportunities over time. The approach is applied to the context of a static sensor network, where the location of an object is only registered when passing a sensor location along a road network. Feasibility is incorporated based on the deviation from the shortest path. As an illustration, the model is applied to a large Bluetooth tracking dataset gathered at a mass event. The model output consists of maps showing the temporal evolution of the distribution of feasible co-presence opportunities of tracked visitors over the network (i.e. the number of visitors that could have been present together). We demonstrate the model's usefulness in studying the movement and distribution of a crowd over a study area with relatively few sampling locations. Finally, we discuss the results with a special emphasis on the distinction between feasible and actual presence, the need for further validation and calibration, and the performance of the implementation. Numéro de notice : A2014-510 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12050 Date de publication en ligne : 12/09/2013 En ligne : https://doi.org/10.1111/tgis.12050 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74109
in Transactions in GIS > vol 18 n° 5 (October 2014) . - pp 687 – 703[article]A general framework for trajectory data warehousing and visual OLAP / Luca Leonardi in Geoinformatica, vol 18 n° 2 (April 2014)
[article]
Titre : A general framework for trajectory data warehousing and visual OLAP Type de document : Article/Communication Auteurs : Luca Leonardi, Auteur ; Salvatore Orlando, Auteur ; Alessandra Raffaetà, Auteur ; Alessandro Roncato, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 273 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] base de données d'objets mobiles
[Termes IGN] entrepôt de données
[Termes IGN] itinéraire
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] objet mobile
[Termes IGN] outil d'aide à la décision
[Termes IGN] programmation par contraintes
[Termes IGN] SOLAPRésumé : (Auteur) In this paper, we present a formal framework for modelling a trajectory data warehouse (TDW), namely a data warehouse aimed at storing aggregate information on trajectories of moving objects, which also offers visual OLAP operations for data analysis. The data warehouse model includes both temporal and spatial dimensions, and it is flexible and general enough to deal with objects that are either completely free or constrained in their movements (e.g., they move along a road network). In particular, the spatial dimension and the associated concept hierarchy reflect the structure of the environment in which the objects travel. Moreover, we cope with some issues related to the efficient computation of aggregate measures, as needed for implementing roll-up operations. The TDW and its visual interface allow one to investigate the behaviour of objects inside a given area as well as the movements of objects between areas in the same neighbourhood. A user can easily navigate the aggregate measures obtained from OLAP queries at different granularities, and get overall views in time and in space of the measures, as well as a focused view on specific measures, spatial areas, or temporal intervals. We discuss two application scenarios of our TDW, namely road traffic and vessel movement analysis, for which we built prototype systems. They mainly differ in the kind of information available for the moving objects under observation and their movement constraints. Numéro de notice : A2014-227 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0181-3 Date de publication en ligne : 11/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0181-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33130
in Geoinformatica > vol 18 n° 2 (April 2014) . - pp 273 - 312[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014021 RAB Revue Centre de documentation En réserve L003 Disponible CONSTAnT – A conceptual data model for semantic Trajectories of moving objects / Vania Bogorny in Transactions in GIS, vol 18 n° 1 (February 2014)
[article]
Titre : CONSTAnT – A conceptual data model for semantic Trajectories of moving objects Type de document : Article/Communication Auteurs : Vania Bogorny, Auteur ; Chiara Renso, Auteur ; Artur Ribeiro De Aquino, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 66 - 88 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] information sémantique
[Termes IGN] itinéraire
[Termes IGN] modèle conceptuel de données
[Termes IGN] modèle sémantique de données
[Termes IGN] objet mobileRésumé : (Auteur) Several works have been proposed in the last few years for raw trajectory data analysis, and some attempts have been made to define trajectories from a more semantic point of view. Semantic trajectory data analysis has received significant attention recently, but the formal definition of semantic trajectory, the set of aspects that should be considered to semantically enrich trajectories and a conceptual data model integrating these aspects from a broad sense is still missing. This article presents a semantic trajectory conceptual data model named CONSTAnT, which defines the most important aspects of semantic trajectories. We believe that this model will be the foundation for the design of semantic trajectory databases, where several aspects that make a trajectory “semantic” are taken into account. The proposed model includes the concepts of semantic subtrajectory, semantic points, geographical places, events, goals, environment and behavior, to create a general concept of semantic trajectory. The proposed model is the result of several years of work by the authors in an effort to add more semantics to raw trajectory data for real applications. Two application examples and different queries show the flexibility of the model for different domains. Numéro de notice : A2014-065 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12011 Date de publication en ligne : 05/02/2013 En ligne : https://doi.org/10.1111/tgis.12011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32970
in Transactions in GIS > vol 18 n° 1 (February 2014) . - pp 66 - 88[article]Motifs spatio-temporels de trajectoires, de l'extraction à la détection de comportements inhabituels / Laurent Etienne in Cartes & Géomatique, n° 215 (mars 2013)PermalinkJoint wall mitigation and compressive sensing for indoor image reconstruction / E. Lagunas in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkMeasuring dynamic interaction in movement data / Jed A. Long in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkThrough-the-wall human motion indication using sparsity-driven change detection / F. Ahmad in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkTrajectories of moving objects on a network: detection of similarities, visualization of relations, and classification of trajectories / Yukio Sadahiro in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkContinuous aggregate nearest neighbor queries / H. Elmongui in Geoinformatica, vol 17 n° 1 (January 2013)PermalinkPermalinkJoint estimation of moving target reflectivity and velocity via AT-InSAR systems based on complex interferometric data / Alessandra Budillon in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)PermalinkVisual analytics of movement: An overview of methods, tools and procedures / Natalia Andrienko in Information visualization, vol 12 n° 1 (January 2013)PermalinkMap readers' assessment of path elements and context to identify movement behaviour in visualisations / A. Lautenschütz in Cartographic journal (the), vol 49 n° 4 (November 2012)Permalink