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Analysis of collaboration networks in OpenStreetMap through weighted social multigraph mining / Quy Thy Truong in International journal of geographical information science IJGIS, vol 33 n° 7 - 8 (July - august 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 7 - 8 (July - august 2019) . - pp 1651 - 1682 Titre : Analysis of collaboration networks in OpenStreetMap through weighted social multigraph mining Type de document : Article/Communication Auteurs : Quy Thy Truong , Auteur ; Cyril de Runz, Auteur ; Guillaume Touya , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : pp 1651 - 1682 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] comportement [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] exploration de données [Termes descripteurs IGN] graphe [Termes descripteurs IGN] OpenStreetMap [Termes descripteurs IGN] pondération [Termes descripteurs IGN] qualité des données [Termes descripteurs IGN] travail coopératif Résumé : (auteur) This paper aims to qualify the behaviour of contributors to OpenStreetMap (OSM), a volunteered geographic information (VGI) project, through a multigraph approach. The main purpose is to reproduce contributor’s interactions in a more comprehensive way. First, we define a multigraph that combines existing spatial collaboration networks from the literature with new graphs that illustrate collaboration based on specific aspects of the VGI modes of contribution through semantics, geometry and topology. Indeed, the ways that contributors interact with one another through editing, completion, or even consumption may provide additional information on each user’s operation mode and therefore, on the quality of the contributed data. Social collaborations drawn from indirect criteria – for example, comparisons between contributors’ activity areas – can also be contemplated under another network. Second, the resulting multigraph is analysed using data mining approaches to characterise individuals and identify behavioural groups. The implementation of a multiplex network based on an OSM data sample and an initial analysis make it possible to identify useful behaviours for data qualification. The initial results characterise some contributors as pioneers, moderators and truthful contributors, according to their special roles in the graphs. Mapping elements that include these contributors’ participation are likely to be reliable data. Numéro de notice : A2019-025 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1556395 date de publication en ligne : 17/12/2018 En ligne : https://doi.org/10.1080/13658816.2018.1556395 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91958 [article]

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Attitudes towards biodiversity conservation and carbon substitution in forestry: a study of stakeholders in Sweden / Louise Eriksson in Forestry, an international journal of forest research, vol 92 n° 2 (April 2019)  

Public [article]  inForestry, an international journal of forest research > vol 92 n° 2 (April 2019) . - pp 219 - 229 Titre : Attitudes towards biodiversity conservation and carbon substitution in forestry: a study of stakeholders in Sweden Type de document : Article/Communication Auteurs : Louise Eriksson, Auteur ; Maartje J. Klapwijk, Auteur Année de publication : 2019 Article en page(s) : pp 219 - 229 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] comportement [Termes descripteurs IGN] conservation des ressources naturelles [Termes descripteurs IGN] politique de conservation (biodiversité) [Termes descripteurs IGN] puits de carbone [Termes descripteurs IGN] Suède [Vedettes matières IGN] Ecologie forestière Résumé : (Auteur) Global change has fueled debates on forest use and management, including the need to adapt management to mitigate future risks in forestry. Additionally, forests are important for biodiversity conservation and could be used in climate change mitigation. The opinions of stakeholders towards acceptable forest use deserve consideration. This study examined relations between environmental problem awareness, forest beliefs and environmental management attitudes (biodiversity conservation and carbon substitution) among stakeholders in Sweden, and explored the effect of a local biodiversity versus global climate change frame on attitudes. Stakeholders were recruited from ownership and environmental/recreational interest groups (owner and nature group, respectively) (membership sample) and among students (student sample). Whereas the owner group was more positive towards carbon substitution in forestry, the nature group was more positive towards biodiversity conservation and carbon storage. In the membership sample, awareness of biodiversity loss and eco-social forest beliefs influenced attitudes towards biodiversity conservation. In contrast, positive attitudes towards carbon substitution stemmed from lower awareness of biodiversity loss, less emphasis on openness towards new methods in forestry and greater emphasis on production in forestry. While framing did not influence attitudes, the cognitive hierarchy was useful in providing a nuanced understanding of stakeholders, valuable for policy and practice. Numéro de notice : A2019-292 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpz003 En ligne : https://doi.org/10.1093/forestry/cpz003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93183 [article]

Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter / Caglar Koylu 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 805 - 832 Titre : Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter Type de document : Article/Communication Auteurs : Caglar Koylu, Auteur Année de publication : 2019 Article en page(s) : pp 805 - 832 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] analyse géovisuelle [Termes descripteurs IGN] analyse sémantique [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] comportement [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] traitement interactif [Termes descripteurs IGN] Twitter Résumé : (Auteur) Interpersonal communication on online social networks has a significant impact on the society by not only diffusing information, but also forming social ties, norms, and behaviors. Knowing how the conversational discourse semantically and geographically vary over time can help uncover the changing dynamics of interpersonal ties and the digital traces of social events. This article introduces a framework for modeling and visualizing the semantic and spatio-temporal evolution of topics in a spatially embedded and time-stamped interpersonal communication network. The framework consists of (1) a topic modeling workflow for modeling topics and extracting the evolution of conversational discourse; (2) a geo-social network modeling and smoothing approach to projecting connection characteristics and semantics of communication onto geographic space and time; (3) a web-based geovisual analytics environment for exploring semantic and spatio-temporal evolution of topics in a spatially embedded and time-stamped interpersonal communication network. To demonstrate, geo-located and reciprocal user mention and reply tweets over the course of the 2016 primary and presidential elections in the United States from 1 August 2015 to 15 November 2016 were analyzed. The large portion of the topics extracted from mention tweets were related to daily life routines, human activities, and interests such as school, work, sports, dating, wearing, birthday celebration, music, food, and live-tweeting. Specific focus on the analysis of political conversations revealed that the content of conversational discourse was split between civil rights and election-related discussions of the political campaigns and candidates. These political topics exhibited major shifts in terms of content and the popularity in reaction to primaries, debates, and events throughout the study period. While civil rights discussions were more dominant and in higher intensity across the nation and throughout the whole time period, election-specific conversations resulted in temporally varying local hotspots that correlated with locations of primaries and events. Numéro de notice : A2019-217 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1458987 date de publication en ligne : 25/04/2018 En ligne : https://doi.org/10.1080/13658816.2018.1458987 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92689 [article]

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A time‐geographic approach to quantifying wildlife–road interactions / Rebecca W. Loraamm in Transactions in GIS, vol 23 n° 1 (February 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 1 (February 2019) . - pp 70 - 86 Titre : A time‐geographic approach to quantifying wildlife–road interactions Type de document : Article/Communication Auteurs : Rebecca W. Loraamm, Auteur ; Joni A. Downs, Auteur ; David Lamb, Auteur Année de publication : 2019 Article en page(s) : pp 70 - 86 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] comportement [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] échantillonnage de données [Termes descripteurs IGN] faune locale [Termes descripteurs IGN] gestion de la vie sauvage [Termes descripteurs IGN] interaction spatiale [Termes descripteurs IGN] migration animale [Termes descripteurs IGN] Mustelidae [Termes descripteurs IGN] prisme spatio-temporel [Termes descripteurs IGN] route [Termes descripteurs IGN] Time-geography [Termes descripteurs IGN] voxel Résumé : (auteur) Recent advances in time geography offer new perspectives for studying animal movements and interactions in an environmental context. In particular, the ability to estimate an animal's spatial location probabilistically at temporal sampling intervals between known fix locations allows researchers to quantify how individuals interact with one another and their environment on finer temporal and spatial scales than previously explored. This article extends methods from time geography, specifically probabilistic space–time prisms, to quantify and summarize animal–road interactions toward understanding related diurnal movement behaviors, including road avoidance. The approach is demonstrated using tracking data for fishers (Martes pennanti) in New York State, where the total probability of interaction with roadways is calculated for individuals over the duration tracked. Additionally, a summarization method visualizing daily interaction probabilities at 60 s intervals is developed to assist in the examination of temporal patterns associated with fishers’ movement behavior with respect to roadways. The results identify spatial and temporal patterns of fisher–roadway interaction by time of day. Overall, the methodologies discussed offer an intuitive means to assess moving object location probabilities in the context of environmental factors. Implications for movement ecology and related conservation planning efforts are also discussed. Numéro de notice : A2019-090 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12497 date de publication en ligne : 17/12/2018 En ligne : https://doi.org/10.1111/tgis.12497 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92237 [article]

Assessing spatiotemporal predictability of LBSN : a case study of three Foursquare datasets / Ming Li in Geoinformatica [en ligne], vol 22 n° 3 (July 2018)  

Public [article]  inGeoinformatica [en ligne] > vol 22 n° 3 (July 2018) . - pp 541 - 561 Titre : Assessing spatiotemporal predictability of LBSN : a case study of three Foursquare datasets Type de document : Article/Communication Auteurs : Ming Li, Auteur ; Rene Westerholt, Auteur ; Hongchao Fan, Auteur ; Alexander Zipf, Auteur Année de publication : 2018 Article en page(s) : pp 541 - 561 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] comportement [Termes descripteurs IGN] jeu de données localisées [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] prévision [Termes descripteurs IGN] réseau social géodépendant [Termes descripteurs IGN] ville Résumé : (Auteur) Location-based social networks (LBSN) have provided new possibilities for researchers to gain knowledge about human spatiotemporal behavior, and to make predictions about how people might behave through space and time in the future. An important requirement of successfully utilizing LBSN in these regards is a thorough understanding of the respective datasets, including their inherent potential as well as their limitations. Specifically, when it comes to predictions, we must know what we can actually expect from the data, and how we could maximize their usefulness. Yet, this knowledge is still largely lacking from the literature. Hence, this work explores one particular aspect which is the theoretical predictability of LBSN datasets. The uncovered predictability is represented with an interval. The lower bound of the interval corresponds to the amount of regular behaviors that can easily be anticipated, and represents the correct predication rate that any algorithm should be able to achieve. The upper bound corresponds to the amount of information that is contained in the dataset, and represents the maximum correct prediction rate that cannot be exceeded by any algorithms. Three Foursquare datasets from three American cities are studied as an example. It is found that, within our investigated datasets, the lower bound of predictability of the human spatiotemporal behavior is 27%, and the upper bound is 92%. Hence, the inherent potentials of the dataset for predicting human spatiotemporal behavior are clarified, and the revealed interval allows a realistic assessment of the quality of predictions and thus of associated algorithms. Additionally, in order to provide further insight into the practical use of the dataset, the relationship between the predictability and the check-in frequencies are investigated from three different perspectives. It was found that the individual perspective provides no significant correlations between the predictability and the check-in frequency. In contrast, the same two quantities are found to be negatively correlated from temporal and spatial perspectives. Our study further indicates that the heavily frequented contexts and some extraordinary geographic features such as airports could be good starting points for effective improvements of prediction algorithms. In general, this research provides novel knowledge regarding the nature of the LBSN dataset and practical insights for a more reasonable utilization of the dataset. Numéro de notice : A2018-349 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-016-0279-5 date de publication en ligne : 25/11/2016 En ligne : https://doi.org/10.1007/s10707-016-0279-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90758 [article]

Un modèle spatiotemporel sémantique pour la modélisation de mobilités en milieu urbain / Meihan Jin in Revue internationale de géomatique, vol 28 n° 3 (juillet - septembre 2018)  

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The life cycle of contributors in collaborative online communities -the case of OpenStreetMap / Daniel Begin in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)  

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Depicting urban boundaries from a mobility network of spatial interactions : a case study of Great Britain with geo-located Twitter data / Junjun Yin in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

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Visual analytics of human mobility behavior / Robert Lutz Krüger (2017) 

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A probabilistic approach to detect mixed periodic patterns from moving object data / Jun Li in Geoinformatica [en ligne], vol 20 n° 4 (October - December 2016)  

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Integrating social network data into GISystems / Clio Andris in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)  

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Managing real-time information within BIM-based processes for assessing building behaviours in operation / Daniela Pasini in International journal of 3-D information modeling, vol 5 n° 4 (October - December 2016)  

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Analysis of human mobility patterns from GPS trajectories and contextual information / Katarzyna Siła-Nowicka in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

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A new method for discovering behavior patterns among animal movements / Yuwei Wang in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

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Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper) / Ran Wang in Geoinformatica [en ligne], vol 20 n° 2 (April - June 2016)  

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