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Automating and utilising equal-distribution data classification / Gennady Andrienko in International journal of cartography, vol 7 n° 1 (March 2021)  

Public [article]  inInternational journal of cartography > vol 7 n° 1 (March 2021) . - pp 100 - 115 Titre : Automating and utilising equal-distribution data classification Type de document : Article/Communication Auteurs : Gennady Andrienko, Auteur ; Natalia Andrienko, Auteur ; Ibad Kureshi, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 100 - 115 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse spatiale [Termes IGN] attribut géomètrique [Termes IGN] attribut sémantique [Termes IGN] carte choroplèthe [Termes IGN] classification [Termes IGN] exploration de données géographiques [Termes IGN] intervalle de classe [Termes IGN] répartition géographique Résumé : (Auteur) Data classification, i.e. organising data items in groups (classes), is a general technique widely used in data visualisation and cartography, in particular, for creation of choropleth maps. Conventionally, data are classified by dividing the data range into intervals and assigning the same symbol or colour to all data falling within an interval. For instance, the intervals may be of the same length or may include the same number of data items. We propose a method for defining intervals so that some quantity represented by values of another attribute is equally distributed among the classes. This kind of classification supports exploratory analysis of relationships between the attribute used for the classification and the distribution of the phenomenon whose quantity is represented by the additional attribute. The approach may be especially useful when the distribution of the phenomenon is very unequal, with many data items having zero or low quantities and quite a few items having larger quantities. With such a distribution, standard statistical analysis of the relationships may be problematic. We demonstrate the potential of the approach by analysing data referring to a set of spatially distributed people (patients) in relationship to characteristics of the areas in which the people live. Numéro de notice : A2021-184 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2020.1863000 Date de publication en ligne : 05/01/2021 En ligne : https://doi.org/10.1080/23729333.2020.1863000 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97114 [article]

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)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 3-4 (March - April 2019) . - pp 780 - 804 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 interactif Résumé : (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 [article]

Exemplaires(2)

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

Visual exploration of movement and event data with interactive time masks / Natalia Andrienko in Visual Informatics, vol 1 n° 1 (March 2017)  

Public [article]  inVisual Informatics > vol 1 n° 1 (March 2017) . - pp 25 - 39 Titre : Visual exploration of movement and event data with interactive time masks Type de document : Article/Communication Auteurs : Natalia Andrienko, Auteur ; Gennady Andrienko, Auteur ; Elena Camossi, Auteur ; Christophe Claramunt, Auteur ; Jose Manuel Cordero Garcia, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 25 - 39 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données spatiotemporelles [Termes IGN] objet mobile [Termes IGN] programme interactif [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (auteur) We introduce the concept of time mask, which is a type of temporal filter suitable for selection of multiple disjoint time intervals in which some query conditions fulfil. Such a filter can be applied to time-referenced objects, such as events and trajectories, for selecting those objects or segments of trajectories that fit in one of the selected time intervals. The selected subsets of objects or segments are dynamically summarized in various ways, and the summaries are represented visually on maps and/or other displays to enable exploration. The time mask filtering can be especially helpful in analysis of disparate data (e.g., event records, positions of moving objects, and time series of measurements), which may come from different sources. To detect relationships between such data, the analyst may set query conditions on the basis of one dataset and investigate the subsets of objects and values in the other datasets that co-occurred in time with these conditions. We describe the desired features of an interactive tool for time mask filtering and present a possible implementation of such a tool. By example of analysing two real world data collections related to aviation and maritime traffic, we show the way of using time masks in combination with other types of filters and demonstrate the utility of the time mask filtering. Numéro de notice : A2017-855 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.visinf.2017.01.004 Date de publication en ligne : 22/03/2017 En ligne : https://doi.org/10.1016/j.visinf.2017.01.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89749 [article]

Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces / Natalia Andrienko in Information visualization, vol 15 n° 2 (April 2016)  

Public [article]  inInformation visualization > vol 15 n° 2 (April 2016) . - pp 117 - 153 Titre : Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces Type de document : Article/Communication Auteurs : Natalia Andrienko, Auteur ; Gennady Andrienko, Auteur ; Georg Fuchs, Auteur ; Piotr Jankowski, Auteur Année de publication : 2016 Article en page(s) : pp 117 - 153 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] analyse multicritère [Termes IGN] données spatiotemporelles [Termes IGN] information sémantique [Termes IGN] migration pendulaire [Termes IGN] mobilité urbaine [Termes IGN] protection de la vie privée [Termes IGN] réseau social [Termes IGN] téléphone intelligent [Termes IGN] trace GPS [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Mobility diaries of a large number of people are needed for assessing transportation infrastructure and spatial development planning. Acquisition of personal mobility diaries through population surveys is a costly and error-prone endeavour. We examine an alternative approach to obtaining similar information from episodic digital traces of people’s presence in various locations, which appear when people use their mobile devices for making phone calls, accessing the Internet or posting georeferenced contents (texts, photos or videos) in social media. Having episodic traces of a person over a long time period, it is possible to detect significant (repeatedly visited) personal places and identify them as home, work or place of social activities based on temporal patterns of a person’s presence in these places. Such analysis, however, can lead to compromising personal privacy. We have investigated the feasibility of deriving place meanings and reconstructing personal mobility diaries while preserving the privacy of individuals whose data are analysed. We have devised a visual analytics approach and a set of supporting tools making such privacy-preserving analysis possible. The approach was tested in two case studies with publicly available data: simulated tracks from the VAST Challenge 2014 and real traces built from georeferenced Twitter posts. Numéro de notice : A2016--019 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1177/1473871615581216 En ligne : https://doi.org/10.1177/1473871615581216 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83874 [article]

European handbook of crowdsourced geographic information, ch. 12. Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko (2016)    

Public contenu dans European handbook of crowdsourced geographic information / Cristina Capineri (2016)     Titre de série : European handbook of crowdsourced geographic information, ch. 12 Titre : Gaining knowledge from georeferenced social media data with visual analytics Type de document : Chapitre/Contribution Auteurs : Gennady Andrienko, Auteur ; Natalia Andrienko, Auteur Editeur : Londres : Ubiquity press Année de publication : 2016 Importance : pp 157 - 167 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de groupement [Termes IGN] analyse géovisuelle [Termes IGN] analyse spatiale [Termes IGN] données spatiotemporelles [Termes IGN] mobilité urbaine [Termes IGN] réseau social [Termes IGN] trajet (mobilité) [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Analysis of the collections of geographically referenced posts published in social media, such as Twitter, Flickr, and YouTube, can bring new knowledge about places, geographical objects, and events interesting to people, and about people’s mobility behaviours. Gaining knowledge from large data collections requires combining computational analysis with human interpretation, judgement, and reasoning, which, in turn, require appropriate visual representations of the data and analysis results. Visual analytics integrates computational analysis techniques with interactive visual interfaces to support collaborative human−computer analytical activities. We give a brief overview of visual analytics approaches to extracting various kinds of information and knowledge from georeferenced social media data. Numéro de notice : H2016-003 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bax En ligne : https://doi.org/10.5334/bax Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83785

Documents numériques

en open access Gaining knowledge from georeferenced social media data Adobe Acrobat PDF

Extracting semantics of individual places from movement data by analyzing temporal patterns of visits / Gennady Andrienko (2013)    

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Visual analytics of movement: An overview of methods, tools and procedures / Natalia Andrienko in Information visualization, vol 12 n° 1 (January 2013)  

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Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes / Sara Irina Fabrikant in Cartographic journal (the), vol 45 n° 3 (August 2008)  

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vol 21 n° 8 - september 2007 - Geovisual analytics for spatial decision support (Bulletin de International journal of geographical information science IJGIS) / Gennady Andrienko

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Reactions to geovisualization: an experience from a European project / Gennady Andrienko in International journal of geographical information science IJGIS, vol 20 n° 10 (november 2006)  

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Exploratory analysis of spatial and temporal data / Natalia Andrienko (2006)

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Interactive maps for visual exploration of grid and vector geodata / Gennady Andrienko in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 5-6 (April - May 2003)  

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Representation and its relationship with cartographic visualization / David Fairbairn in Cartography and Geographic Information Science, vol 28 n° 1 (January 2001)  

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Interactive maps for visual data exploration / Gennady Andrienko in International journal of geographical information science IJGIS, vol 13 n° 4 (July 1999)  

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