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Developing shopping and dining walking indices using POIs and remote sensing data / Yingbin Deng in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 6 (June 2020) . - 22 p. Titre : Developing shopping and dining walking indices using POIs and remote sensing data Type de document : Article/Communication Auteurs : Yingbin Deng, Auteur ; Yingwei Yan, Auteur ; Yichun Xie, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 22 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] achat [Termes IGN] couvert végétal [Termes IGN] distance [Termes IGN] données environnementales [Termes IGN] loisir [Termes IGN] navigation pédestre [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] OpenStreetMap [Termes IGN] point d'intérêt [Termes IGN] sport [Termes IGN] température au sol [Termes IGN] trajet (mobilité) Résumé : (auteur) Walking is one of the most commonly promoted traveling methods and is garnering increasing attention. Many indices/scores have been developed by scholars to measure the walkability in a local community. However, most existing walking indices/scores involve urban planning-oriented, local service-oriented, regional accessibility-oriented, and physical activity-oriented walkability assessments. Since shopping and dining are two major leisure activities in our daily lives, more attention should be given to the shopping or dining-oriented walking environment. Therefore, we developed two additional walking indices that focus on shopping or dining. The point of interest (POI), vegetation coverage, water coverage, distance to bus/subway station, and land surface temperature were employed to construct walking indices based on 50-meter street segments. Then, walking index values were categorized into seven recommendation levels. The field verification illustrates that the proposed walking indices can accurately represent the walking environment for shopping and dining. The results in this study could provide references for citizens seeking to engage in activities of shopping and dining with a good walking environment. Numéro de notice : A2020-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9060366 Date de publication en ligne : 02/06/2020 En ligne : https://doi.org/10.3390/ijgi9060366 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95157 [article]

Delineating and modeling activity space using geotagged social media data / Lingqian Hu in Cartography and Geographic Information Science, vol 47 n° 3 (May 2020)  

Public [article]  inCartography and Geographic Information Science > vol 47 n° 3 (May 2020) . - pp 277 - 288 Titre : Delineating and modeling activity space using geotagged social media data Type de document : Article/Communication Auteurs : Lingqian Hu, Auteur ; Zhenhong Li, Auteur ; Xinyue Ye, Auteur Année de publication : 2020 Article en page(s) : pp 277 - 288 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] distance [Termes IGN] données localisées des bénévoles [Termes IGN] données massives [Termes IGN] données socio-économiques [Termes IGN] logement [Termes IGN] loisir [Termes IGN] Los Angeles [Termes IGN] quartier [Termes IGN] réseau social [Termes IGN] sport [Termes IGN] Twitter [Termes IGN] voisinage (relation topologique) [Termes IGN] zone urbaine Résumé : (auteur) It has become increasingly important in spatial equity studies to understand activity spaces – where people conduct regular out-of-home activities. Big data can advance the identification of activity spaces and the understanding of spatial equity. Using the Los Angeles metropolitan area for the case study, this paper employs geotagged Twitter data to delineate activity spaces with two spatial measures: first, the average distance between users’ home location and activity locations; and second, the area covered between home and activity locations. The paper also finds significant relationship between the spatial measures of activity spaces and neighborhood spatial and socioeconomic characteristics. This research enriches the literature that aims to address spatial equity in activity spaces and demonstrates the applicability of big data in urban socio-spatial research. Numéro de notice : A2020-135 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1705187 Date de publication en ligne : 10/02/2020 En ligne : https://doi.org/10.1080/15230406.2019.1705187 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94843 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2020031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modeling sport events legacy based on olympic games / Malika Grim-Yefsah (2020)  

Public Titre : Modeling sport events legacy based on olympic games Type de document : Article/Communication Auteurs : Malika Grim-Yefsah , Auteur ; Badamassi Jadi, Auteur ; Thibault Petiet, Auteur ; Arthur Vignais, Auteur Editeur : Setúbal [Portugal] : Science and Technology Publications - Scitepress Année de publication : 2020 Projets : 1-Pas de projet / Conférence : KMIS 2020, 12th International Conference on Knowledge Management and Information Systems 02/11/2020 04/11/2020 en ligne Open Access Proceedings Importance : pp 219 - 225 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] événement [Termes IGN] Jeux Olympiques [Termes IGN] modèle conceptuel de données localisées [Termes IGN] sport [Termes IGN] système de gestion de connaissances Résumé : (auteur This article presents a conceptual model of sport events legacy based on the Olympic and Paralympic Games as a reference. The legacy of mega sport events has gained ever more importance during recent years for both academics and practitioners. The International Olympic Committee looked at the concept of legacy, as it is the best argument with which to illustrate the lasting benefits that are derived from the Olympic Games. The Legacy is the way to structure the capitalization of the benefits and lessons related to the organization of major sporting events. So, our motivation is to develop a tool of the sport events legacy. The aims of the article are first, to investigate the legacy sport events literature, second, to propose a Legacy Conceptual Model (LCM) and to transpose it to a database which will be support to analyse the changes related to legacy. This research target also has a practical implication. So, we investigate how the LCM helps to analyze the legacy left by a sport eve nt using a case study. Numéro de notice : C2020-024 Affiliation des auteurs : ENSG (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5220/0010144602190225 En ligne : https://doi.org/10.5220/0010144602190225 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96911

A filtering-based approach for improving crowdsourced GNSS traces in a data update context / Stefan Ivanovic in ISPRS International journal of geo-information, vol 8 n° 9 (September 2019)  

Public [article]  inISPRS International journal of geo-information > vol 8 n° 9 (September 2019) . - 17 p. Titre : A filtering-based approach for improving crowdsourced GNSS traces in a data update context Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : 17 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] apprentissage automatique [Termes IGN] approche participative [Termes IGN] base de données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] filtrage du bruit [Termes IGN] mise à jour de base de données [Termes IGN] montagne [Termes IGN] qualité des données [Termes IGN] sport [Termes IGN] système d'information géographique [Termes IGN] trace GPS [Termes IGN] valeur aberrante Résumé : (auteur) Traces collected by citizens using GNSS (Global Navigation Satellite System) devices during sports activities such as running, hiking or biking are now widely available through different sport-oriented collaborative websites. The traces are collected by citizens for their own purposes and frequently shared with the sports community on the internet. Our research assumption is that crowdsourced GNSS traces may be a valuable source of information to detect updates in authoritative datasets. Despite their availability, the traces present some issues such as poor metadata, attribute incompleteness and heterogeneous positional accuracy. Moreover, certain parts of the traces (GNSS points composing the traces) are results of the displacements made out of the existing paths. In our context (i.e., update authoritative data) these off path GNSS points are considered as noise and should be filtered. Two types of noise are examined in this research: Points representing secondary activities (e.g., having a lunch break) and points representing errors during the acquisition. The first ones we named secondary human behaviour (SHB), whereas we named the second ones outliers. The goal of this paper is to improve the smoothness of traces by detecting and filtering both SHB and outliers. Two methods are proposed. The first one allows for the detection secondary human behaviour by analysing only traces geometry. The second one is a rule-based machine learning method that detects outliers by taking into account the intrinsic characteristics of points composing the traces, as well as the environmental conditions during traces acquisition. The proposed approaches are tested on crowdsourced GNSS traces collected in mountain areas during sports activities. Numéro de notice : A2019-626 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi8090380 Date de publication en ligne : 30/08/2019 En ligne : https://doi.org/10.3390/ijgi8090380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95359 [article]

Towards improving knowledge capitalization system for sport events legacy / Malika Grim-Yefsah (2019)  

Public Titre : Towards improving knowledge capitalization system for sport events legacy Type de document : Article/Communication Auteurs : Malika Grim-Yefsah , Auteur ; Bénédicte Bucher , Auteur Editeur : Setúbal [Portugal] : Science and Technology Publications - Scitepress Année de publication : 2019 Projets : 1-Pas de projet / Conférence : KMIS 2019, 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management 17/09/2019 19/09/2019 Vienne Autriche Open Access Proceedings Importance : pp 264 - 270 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données spatiotemporelles [Termes IGN] généalogie des données [Termes IGN] plateforme collaborative [Termes IGN] sport [Termes IGN] système de gestion de connaissances Résumé : (auteur) Knowledge Management is a way to answer the problem of capitalizing on the companies’ knowledge. Knowing that hosting sports events (SE) requires organizers to learn from past events to not repeat mistakes, we examine knowledge management in a sport events legacy (SEL). Thus, in this paper, we propose in first, two conceptual models based on UML; one for the SE, another for SEL. Secondly, we propose a system to manage SEL to assist in the process of data acquisition and capitalization on SE knowledge. This system helps to create an open collaborative platform for consultation, visualization of the spinoffs of sport events. It is intended to be used by public policies, territories, journalists, citizens, historians and all others. We propose also to take into account the spatiotemporal aspects of SE. Numéro de notice : C2019-035 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5220/0008348102640270 En ligne : http://dx.doi.org/10.5220/0008348102640270 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95334

Des nouvelles technologies pour le haut niveau / Ghyslain Ferré in Géomètre, n° 2129 (octobre 2015)

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Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)    

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Cartes pour l'orientation et la découverte d'objets cachés / Lazlo Zentai in Cartes & Géomatique, n° 221 (septembre 2014)

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Modèle intégré de description verbale et de représentation spatiale au sein des SIG / David Brosset in Cartes & Géomatique, n° 215 (mars 2013)  

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New insights into the concept of orienteering maps / Angel Munoz-Nieto in Cartographic journal (the), vol 50 n° 1 (February 2013)  

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Développement d’application Web et Mobile pour la Fédération Française de Course d’Orientation / Victor Coindet (2013) 

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Legibility of orienteering maps: evolution and influences / L. Zentai in Cartographic journal (the), vol 48 n° 2 (May 2011)  

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L'animation cartographique pour la représentation de trajectoires : Propositions et perspectives / L. Ravenel in Le monde des cartes, n° 205 (septembre 2010)  

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La mesure de l'espace au service de la performance sportive : l'exemple de la Fédération Française d'Athlétisme / B. Amsalem in XYZ, n° 120 (septembre - novembre 2009) 

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Trajectory determination and analysis in sports by satellite and inertial navigation / Adrian Wägli (2009)  

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