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Perspective switch and spatial knowledge acquisition: effects of age, mental rotation ability and visuospatial memory capacity on route learning in virtual environments with different levels of realism / Ismini E. Lokka in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)
[article]
Titre : Perspective switch and spatial knowledge acquisition: effects of age, mental rotation ability and visuospatial memory capacity on route learning in virtual environments with different levels of realism Type de document : Article/Communication Auteurs : Ismini E. Lokka, Auteur ; Arzu Çöltekin, Auteur Année de publication : 2020 Article en page(s) : pp 14-27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] acquisition de données
[Termes IGN] analyse géovisuelle
[Termes IGN] analyse visuelle
[Termes IGN] expérience scientifique
[Termes IGN] information géographique
[Termes IGN] mémoire
[Termes IGN] monde virtuel
[Termes IGN] représentation cognitive
[Termes IGN] test de performanceRésumé : (Auteur) We report on a study in which we examine if the visual design of virtual environments (VEs) affects visuospatial knowledge acquisition in younger and older adults with varying cognitive abilities in the context of navigational learning, specifically when a perspective switch is involved. Perspective switch between first-person and aerial-views is an important and commonly executed task in navigation; and it is a special case in studying the effects of aging on navigational performance as well, because, reportedly, it is particularly harder for older people. In a controlled experiment, our participants learned a route in first-person view VE, and reproduced what they learned in an aerial-perspective view in immediate and delayed recall stages. To examine the effects of (and interactions between) multiple factors involved in the experiment in relation to the given task, we provide an in-depth investigation of group differences in spatial knowledge acquisition when a perspective switch is required based on age, mental rotation abilities, and visuospatial memory capacity with three VE designs that differ in levels of realism. Our findings based on the recall accuracy of 81 (42 younger, 39 older) participants in sketching tasks demonstrate significant differences across VE types, overall, in favor of our custom-designed VE in this demanding task. Furthermore, we demonstrate that age and visuospatial memory abilities are strong moderating factors, explicitly in this sketching task that requires a perspective switch, irrespective of VE types. Numéro de notice : A2020-005 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1595151 Date de publication en ligne : 23/04/2019 En ligne : https://doi.org/10.1080/15230406.2019.1595151 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94341
in Cartography and Geographic Information Science > Vol 47 n° 1 (January 2020) . - pp 14-27[article]Rapport d'activité 2019 de l'Institut National de l'Information Géographique et Forestière IGN / Institut national de l'information géographique et forestière (2012 -) (2020)
Titre : Rapport d'activité 2019 de l'Institut National de l'Information Géographique et Forestière IGN Type de document : Rapport Auteurs : Institut national de l'information géographique et forestière (2012 -), Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2020 Importance : 92 p. Format : 23 x 29 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Histoire IGN
[Termes IGN] BD Topage
[Termes IGN] BD Topo
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] données localisées
[Termes IGN] Géocube
[Termes IGN] géodésie
[Termes IGN] géoportail
[Termes IGN] information géographique
[Termes IGN] réseau géodésique permanent de l'IGN
[Termes IGN] ressources forestières
[Termes IGN] universitéIndex. décimale : 42.40 Histoire IGN Note de contenu : - La gouvernance de l'IGN et repères historiques
- entretien avec la présidente du conseil d'administration
- Entretien avec le directeur général
- Assurer la disponibilité des données géolocalisées du territoire français
- Favoriser l'appropriation et l'utilisation de la donnée géographique
- Maintenir un niveau élevé de compétence dans le domaine de l'information géographique
- Une mission de soutien et de conseil
- Accompagner les directions et les agents dans la transformationNuméro de notice : 28617 Affiliation des auteurs : IGN (2012-2019) Thématique : FORET/GEOMATIQUE Nature : Rapport d'activité DOI : sans En ligne : https://fr.calameo.com/read/0011885825aaddc5ca9fb Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99520 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 28617-01 42.40 Livre Centre de documentation Histoire Disponible 28617-02 42.40 Livre Centre de documentation Histoire Disponible A conceptual framework for studying collective reactions to events in location-based social media / Alexander Dunkel in International journal of geographical information science IJGIS, Vol 33 n° 3-4 (March - April 2019)
[article]
Titre : A conceptual framework for studying collective reactions to events in location-based social media Type de document : Article/Communication Auteurs : Alexander Dunkel, Auteur ; Gennady Andrienko, Auteur ; Natalia Andrienko, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 780 - 804 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse comparative
[Termes IGN] diffusion de l'information
[Termes IGN] données spatiotemporelles
[Termes IGN] événement
[Termes IGN] hypercube
[Termes IGN] information géographique
[Termes IGN] modèle conceptuel de données
[Termes IGN] réseau social
[Termes IGN] traitement interactifRésumé : (Auteur) Events are a core concept of spatial information, but location-based social media (LBSM) provide information on reactions to events. Individuals have varied degrees of agency in initiating, reacting to or modifying the course of events, and reactions include observations of occurrence, expressions containing sentiment or emotions, or a call to action. Key characteristics of reactions include referent events and information about who reacted, when, where and how. Collective reactions are composed of multiple individual reactions sharing common referents. They can be characterized according to the following dimensions: spatial, temporal, social, thematic and interlinkage. We present a conceptual framework, which allows characterization and comparison of collective reactions. For a thematically well-defined class of event such as storms, we can explore differences and similarities in collective attribution of meaning across space and time. Other events may have very complex spatio-temporal signatures (e.g. political processes such as Brexit or elections), which can be decomposed into series of individual events (e.g. a temporal window around the result of a vote). The purpose of our framework is to explore ways in which collective reactions to events in LBSM can be described and underpin the development of methods for analysing and understanding collective reactions to events. Numéro de notice : A2019-216 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1546390 Date de publication en ligne : 18/11/2018 En ligne : https://doi.org/10.1080/13658816.2018.1546390 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92688
in International journal of geographical information science IJGIS > Vol 33 n° 3-4 (March - April 2019) . - pp 780 - 804[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2019031 RAB Revue Centre de documentation En réserve L003 Disponible 079-2019032 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Google Earth Engine applications Type de document : Monographie Auteurs : Lalit Kumar, Éditeur scientifique ; Onisimo Mutanga, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 420 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03897-885-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] base de données d'images
[Termes IGN] Google Earth Engine
[Termes IGN] image 3D
[Termes IGN] image aérienne
[Termes IGN] image satellite
[Termes IGN] information géographique numérique
[Termes IGN] informatique en nuage
[Termes IGN] moteur de recherche
[Termes IGN] surveillance écologique
[Termes IGN] système d'information environnementale
[Termes IGN] traitement de données localiséesRésumé : (éditeur) In a rapidly changing world, there is an ever-increasing need to monitor the Earth's resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth's surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales. Note de contenu : 1- Google Earth Engine applications since inception: usage, trends, and potential
2- Global estimation of biophysical variables from Google Earth Engine platform
3- An operational before-after-control-impact (BACI) designed platform for vegetation monitoring at planetary scale
4- Mapping vegetation and land use types in Fanjingshan national nature reserve using Google Earth Engine
5- A dynamic Landsat derived Normalized Difference Vegetation Index (NDVI) product for the conterminous United States
6- High spatial resolution visual band imagery outperforms medium resolution spectral imagery for ecosystem assessment in the semi-arid Brazilian Sert˜ao
7- Assessing the spatial and occupation dynamics of the Brazilian pasturelands based on the automated classification of MODIS images from 2000 to 2016
8- Towards global-scale seagrass mapping and monitoring using Sentinel-2 on Google Earth Engine: The case study of the Aegean and Ionian Seas
9- BULC-U: Sharpening resolution and improving accuracy of land-use/land-cover classifications in Google Earth Engine
10- Monitoring the impact of land cover change on surface urban heat island through Google
Earth Engine: Proposal of a global methodology, first applications and problems
11- Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data
12- The first wetland inventory map of Newfoundland at a spatial resolution of 10 m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform
13- A cloud-based multi-temporal ensemble classifier to map smallholder farming systems
14- Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth Engine
15- SnowCloudHydro — A new framework for forecasting streamflow in snowy, data-scarce regions
16- Flood prevention and emergency response system powered by Google Earth Engine
17- Leveraging the Google Earth Engine for drought assessment using global soil moisture data
18- Multitemporal cloud masking in the Google Earth Engine
19- Historical and operational monitoring of surface sediments in the lower Mekong basin using Landsat and Google Earth Engine cloud computing
20- Mapping mining areas in the Brazilian Amazon using MSI/Sentinel-2 imagery (2017)
21- Estimating satellite-derived bathymetry (SDB) with the Google Earth Engine and Sentinel-2
22- Mean composite fire severity metrics computed with Google Earth Engine offer improved accuracy and expanded mapping potentialNuméro de notice : 25887 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03897-885-5 En ligne : https://doi.org/10.3390/books978-3-03897-885-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95788
Titre : Image based rendering of large historical image collections Type de document : Article/Communication Auteurs : Evelyn Paiz-Reyes , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Projets : Alegoria / Gouet-Brunet, Valérie Conférence : Eurographics 2019, Doctoral consortium, 40th annual conference of the European association for computer graphics 06/05/2019 10/05/2019 Gênes Italie programme doctoral consortium Importance : 4 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données d'images
[Termes IGN] distorsion d'image
[Termes IGN] données anciennes
[Termes IGN] iconographie
[Termes IGN] image numérisée
[Termes IGN] information géographique
[Termes IGN] rendu (géovisualisation)
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This paper states an overview of my dissertation research centered on the continuous immersive visualization and navigation through time and space of large sets of historical photographs. The research aims for: (i) the treatment of scientific obstacles (e.g. data volume, heterogeneity, distortions, and uncertainties) that appear when old pictures are placed in today’s environment; (ii) the visualization (saliently and spatially) of these photos. The main model of the study is image-based rendering IBR, because of its capacity to use imprecise or non-existent geometry (i.e. since a modern 3D scene may differ from a historical one, due to environmental changes over time). The findings of this work may contribute significantly by extending the current IBR models and providing a new innovative way to examine these massive and heterogeneous datasets. Numéro de notice : C2019-073 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Date de publication en ligne : 05/11/2019 En ligne : https://hal.archives-ouvertes.fr/hal-02301561 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94167 Documents numériques
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