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Social media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys? / Oliver Lock in Geo-spatial Information Science, vol 23 n° 4 (December 2020)  

Public [article]  inGeo-spatial Information Science > vol 23 n° 4 (December 2020) . - pp 275 - 292 Titre : Social media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys? Type de document : Article/Communication Auteurs : Oliver Lock, Auteur ; Chris Pettit, Auteur Année de publication : 2020 Article en page(s) : pp 275 - 292 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] artefact [Termes descripteurs IGN] contenu généré par les utilisateurs [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] données massives [Termes descripteurs IGN] planification urbaine [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] sentiment [Termes descripteurs IGN] Sydney (Nouvelle-Galles du Sud) [Termes descripteurs IGN] traitement du langage naturel [Termes descripteurs IGN] transport public [Termes descripteurs IGN] ville intelligente Résumé : (auteur) We live in an era of rapid urbanization as many cities are experiencing an unprecedented rate of population growth and congestion. Public transport is playing an increasingly important role in urban mobility with a need to move people and goods efficiently around the city. With such pressures on existing public transportation systems, this paper investigates the opportunities to use social media to more effectively engage with citizens and customers using such services. This research forms a case study of the use of passively collected forms of big data in cities – focusing on Sydney, Australia. Firstly, it examines social media data (Tweets) related to public transport performance. Secondly, it joins this to longitudinal big data – delay information continuously broadcast by the network over a year, thus forming hundreds of millions of data artifacts. Topics, tones, and sentiment are modeled using machine learning and Natural Language Processing (NLP) techniques. These resulting data, and models, are compared to opinions derived from a citizen survey among users. The validity of such data and models versus the intentions of users, in the context of systems that monitor and improve transport performance, are discussed. As such, key recommendations for developing Smart Cities were formed in an applied research context based on these data and techniques. Numéro de notice : A2020-787 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2020.1815596 date de publication en ligne : 21/09/2020 En ligne : https://doi.org/10.1080/10095020.2020.1815596 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96545 [article]

Extended reality in spatial sciences: A review of research challenges and future directions / Arzu Çöltekin in ISPRS International journal of geo-information, vol 9 n° 7 (July 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 7 (July 2020) . - n° 439 Titre : Extended reality in spatial sciences: A review of research challenges and future directions Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Ian M. Lochhead, Auteur ; Marguerite Madden, Auteur ; Sidonie Christophe , Auteur ; Alexandre Devaux , Auteur ; Chris Pettit, Auteur ; Oliver Lock, Auteur ; Shashwat Shukla, Auteur ; Lukas Herman, Auteur ; Zdenek Stachoň, Auteur ; Petr Kubíček, Auteur ; Dajana Snopková, Auteur ; Sergio Bernardes, Auteur ; Nick Hedley, Auteur Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : n° 439 Note générale : bibliographie The work in this manuscript has been partially funded by (a) Masaryk University internal research grant MUNI/A/1356/2019, (b) Learning Technologies Grant from the University of Georgia Center for Teaching and Learning and (c) University of Applied Sciences and Arts Northwestern Switzerland internal research grant “TP3 VR Labs» (T440-0002-100). Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] environnement géographique virtuel [Termes descripteurs IGN] réalité augmentée [Termes descripteurs IGN] réalité mixte [Termes descripteurs IGN] réalité virtuelle [Termes descripteurs IGN] recherche et développement [Vedettes matières IGN] Géovisualisation Résumé : (auteur) This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research. Numéro de notice : A2020-418 Affiliation des auteurs : LaSTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9070439 date de publication en ligne : 15/07/2020 En ligne : https://doi.org/10.3390/ijgi9070439 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95527 [article]

Towards SDG 4: trade-offs for geospatial open educational resources / Serena Coetzee (2020)  

Public contenu dans XXIV ISPRS Congress, Commission 5 and Youth Forum / Nicolas Paparoditis (2020)   Titre : Towards SDG 4: trade-offs for geospatial open educational resources Type de document : Article/Communication Auteurs : Serena Coetzee, Auteur ; Victoria Rautenbach, Auteur ; Arzu Çöltekin, Auteur ; Chris Pettit, Auteur ; Marguerite Madden, Auteur ; Sidonie Christophe , Auteur ; Ochirkhuyag Lkhamjav, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLIII-B5 Projets : 1-Pas de projet / Conférence : ISPRS 2020, Commission 5, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 5 Importance : pp 199 - 205 Format : 21 x 30 cm Note générale : bibliographie This research was supported by a grant from the 2018 ISPRS Education and Capacity Building Initiatives. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Formation [Termes descripteurs IGN] catalogue de données localisées [Termes descripteurs IGN] formation initiale [Termes descripteurs IGN] métadonnées [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] ressources documentaires Résumé : (auteur) Through the ISPRS scientific initiative presented in this paper, we aim to make geospatial educational resources available and discoverable to those who teach and those who want to learn. In earlier work, we designed and implemented a prototype catalogue for geospatial educational resources, aimed at a target audience in higher education. The success of search and discovery in any catalogue relies heavily on the metadata that describes catalogue entries. Initial feedback showed that users find it difficult to use some of the metadata elements in the prototype to describe their teaching materials. In order to better understand their difficulties and further refine the metadata for describing educational resources that are used for geospatial purposes specifically, we asked a number of participants to describe geospatial educational resources according to four sets of metadata attributes. This paper presents the results of the study and recommends a set of metadata attributes that are specifically useful for geospatial educational resources. Implementation trade-offs are discussed, e.g., deciding between metadata attributes that are very specific or more generic, and catalogue entries that are immediately available to Web search engines without any quality checks vs. catalogue entries that are moderated by a community of educators before publishing them. By providing metadata about geospatial educational resources, the international geospatial community can contribute to the UN Sustainable Development Goal 4 to ensure inclusive and equitable quality education and to promote lifelong learning opportunities for all. Numéro de notice : C2020-010 Affiliation des auteurs : LaSTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B5-2020-199-2020 date de publication en ligne : 24/08/2020 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-199-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95661

Manual of digital Earth, ch. 7. Geospatial information visualization and extended reality displays / Arzu Çöltekin (2019)  

Public Titre de série : Manual of digital Earth, ch. 7 Titre : Geospatial information visualization and extended reality displays Type de document : Chapitre/Contribution Auteurs : Arzu Çöltekin, Auteur ; Amy L. Griffin, Auteur ; Aidan Slingsby, Auteur ; Anthony C. Robinson, Auteur ; Sidonie Christophe , Auteur ; Victoria Rautenbach, Auteur ; Min Chen, Auteur ; Chris Pettit, Auteur ; Alexander Klippel, Auteur Editeur : Springer International Publishing Année de publication : 2019 Importance : pp 229 - 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse géovisuelle [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] immersion [Termes descripteurs IGN] réalité augmentée [Termes descripteurs IGN] réalité mixte [Termes descripteurs IGN] réalité virtuelle [Termes descripteurs IGN] visualisation dynamique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In this chapter, we review and summarize the current state of the art in geovisualization and extended reality (i.e., virtual, augmented and mixed reality), covering a wide range of approaches to these subjects in domains that are related to geographic information science. We introduce the relationship between geovisualization, extended reality and Digital Earth, provide some fundamental definitions of related terms, and discuss the introduced topics from a human-centric perspective. We describe related research areas including geovisual analytics and movement visualization, both of which have attracted wide interest from multidisciplinary communities in recent years. The last few sections describe the current progress in the use of immersive technologies and introduce the spectrum of terminology on virtual, augmented and mixed reality, as well as proposed research concepts in geographic information science and beyond. We finish with an overview of “dashboards”, which are used in visual analytics as well as in various immersive technologies. We believe the chapter covers important aspects of visualizing and interacting with current and future Digital Earth applications. Numéro de notice : H2019-005 Affiliation des auteurs : LaSTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-981-32-9915-3_7 date de publication en ligne : 20/11/2019 En ligne : http://dx.doi.org/10.1007/978-981-32-9915-3_7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95338

The influence of domain expertise on visual overviews of spatiotemporal data / Susanne Bleisch in International journal of cartography, vol 3 n° 2 (December 2017)  

Public [article]  inInternational journal of cartography > vol 3 n° 2 (December 2017) . - pp 166-186 Titre : The influence of domain expertise on visual overviews of spatiotemporal data Type de document : Article/Communication Auteurs : Susanne Bleisch, Auteur ; Matt Duckham, Auteur ; Chris Pettit, Auteur Année de publication : 2017 Article en page(s) : pp 166-186 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] base de connaissances [Termes descripteurs IGN] base de données spatiotemporelles [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] méta connaissance Résumé : (auteur) Overviews of spatiotemporal data are acknowledged to play an important role in visualization in initiating and supporting geovisualization and exploratory data analysis (EDA). However, relatively little research has focused on the visual overviews themselves, and their potential impacts on EDA outcomes. In a user study, we evaluated the influence of different levels of domain knowledge on the usefulness of four distinct types of static visual overview of spatiotemporal data. Beyond simply orienting users, our results indicate that visual overviews can be important in gaining insights into a data set, for example, in learning about metadata. Although subjects without domain knowledge struggled to judge the quality of their findings, they were as successful at identifying interesting patterns in the data as those with domain expertise. Our results suggest that detailed background knowledge of a data set can actively hinder EDA. Being already familiar with their own data sets, our results highlight the tendency of data experts to disregard findings that do not match their pre-existing domain knowledge. Based on these findings, our conclusions identify a range of potential avenues for future work, including the use of visual overviews that deliberately do not, from first view, reveal the context of the data they show. This later approach could help in cases where domain experts need to see their data with ‘fresh eyes’, and detect interesting patterns in spatiotemporal data before relating the findings to specific knowledge about the data sets and the domain. Numéro de notice : A2017-684 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2017.1294820 En ligne : https://.doi.org/10.1080/23729333.2017.1294820 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87348 [article]

vol 117 - July 2016 - Multi-dimensional modeling, analysis and visualization (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Eric Guilbert  

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A web-based 3D visualisation and assessment system for urban precinct scenario modelling / Roman Trubka in ISPRS Journal of photogrammetry and remote sensing, vol 117 (July 2016)  

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