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Estimating attendance from cellular network data / Marco Marmei in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)
[article]
Titre : Estimating attendance from cellular network data Type de document : Article/Communication Auteurs : Marco Marmei, Auteur ; Massimo Colonna, Auteur Année de publication : 2016 Article en page(s) : pp 1281 - 1301 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] acquisition de données
[Termes IGN] approche participative
[Termes IGN] données localisées des bénévoles
[Termes IGN] positionnement automatique
[Termes IGN] téléphonie mobileRésumé : (Auteur) An automatic estimate of the number of attendees to events happening in the city can provide valuable information to geographic information systems and geo-located applications. We present a methodology to estimate the number of events’ attendees from cellular network data. In this work, we used anonymized Call Detail Records (CDRs) comprising data on where and when users access the cellular network. Our approach is based on two key ideas: (1) we identify the network cells associated with the event location. (2) We verify the attendance of each user, as a measure of whether (s)he generates CDRs during the event, but not during other times. We evaluate our approach to estimate the number of attendees to a number of events ranging from football matches in stadiums to concerts and festivals in open squares. Comparing our results with the best groundtruth data available, our estimates provide a median error of less than 15% of the actual number of attendees. Numéro de notice : A2016-306 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1127378 En ligne : http://dx.doi.org/10.1080/13658816.2015.1127378 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80905
in International journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1281 - 1301[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016042 RAB Revue Centre de documentation En réserve L003 Disponible 079-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information / Alexis Comber in Geoinformatica, vol 20 n° 3 (July - September 2016)
[article]
Titre : Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information Type de document : Article/Communication Auteurs : Alexis Comber, Auteur ; Cidália Costa Fonte, Auteur ; Giles M. Foody, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 503 – 527 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse combinatoire (maths)
[Termes IGN] classification bayesienne
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] classification floue
[Termes IGN] données localisées des bénévoles
[Termes IGN] données multisources
[Termes IGN] incertitude des données
[Termes IGN] occupation du sol
[Termes IGN] pondération
[Termes IGN] qualité des données
[Termes IGN] régression géographiquement pondérée
[Termes IGN] WikimapiaRésumé : (auteur) There is much interest in being able to combine crowdsourced data. One of the critical issues in information sciences is how to combine data or information that are discordant or inconsistent in some way. Many previous approaches have taken a majority rules approach under the assumption that most people are correct most of the time. This paper analyses crowdsourced land cover data generated by the Geo-Wiki initiative in order to infer the land cover present at locations on a 50 km grid. It compares four evidence combination approaches (Dempster-Shafer, Bayes, Fuzzy Sets and Possibility) applied under a geographically weighted kernel with the geographically weighted average approach applied in many current Geo-Wiki analyses. A geographically weighted approach uses a moving kernel under which local analyses are undertaken. The contribution (or salience) of each data point to the analysis is weighted by its distance to the kernel centre, reflecting Tobler’s 1st law of geography. A series of analyses were undertaken using different kernel sizes (or bandwidths). Each of the geographically weighted evidence combination methods generated spatially distributed measures of belief in hypotheses associated with the presence of individual land cover classes at each location on the grid. These were compared with GlobCover, a global land cover product. The results from the geographically weighted average approach in general had higher correspondence with the reference data and this increased with bandwidth. However, for some classes other evidence combination approaches had higher correspondences possibly because of greater ambiguity over class conceptualisations and / or lower densities of crowdsourced data. The outputs also allowed the beliefs in each class to be mapped. The differences in the soft and the crisp maps are clearly associated with the logics of each evidence combination approach and of course the different questions that they ask of the data. The results show that discordant data can be combined (rather than being removed from analysis) and that data integrated in this way can be parameterised by different measures of belief uncertainty. The discussion highlights a number of critical areas for future research. Numéro de notice : A2016-379 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-016-0248-z Date de publication en ligne : 27/02/2016 En ligne : http://dx.doi.org/ 10.1007/s10707-016-0248-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81146
in Geoinformatica > vol 20 n° 3 (July - September 2016) . - pp 503 – 527[article]Task selection in spatial crowdsourcing from worker’s perspective / Dingxiong Deng in Geoinformatica, vol 20 n° 3 (July - September 2016)
[article]
Titre : Task selection in spatial crowdsourcing from worker’s perspective Type de document : Article/Communication Auteurs : Dingxiong Deng, Auteur ; Cyrus Shahabi, Auteur ; Ugur Demiryurek, Auteur ; Linhong Zhu, Auteur Année de publication : 2016 Article en page(s) : pp 529 – 568 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] appareil portable
[Termes IGN] approximation
[Termes IGN] données localisées des bénévoles
[Termes IGN] données spatiotemporelles
[Termes IGN] géopositionnement
[Termes IGN] ordonnancement de tâches
[Termes IGN] programmation dynamique
[Termes IGN] prospective
[Termes IGN] téléphonie mobile
[Termes IGN] travail coopératifRésumé : (auteur) With the progress of mobile devices and wireless broadband, a new eMarket platform, termed spatial crowdsourcing is emerging, which enables workers (aka crowd) to perform a set of spatial tasks (i.e., tasks related to a geographical location and time) posted by a requester. In this paper, we study a version of the spatial crowdsourcing problem in which the workers autonomously select their tasks, called the worker selected tasks (WST) mode. Towards this end, given a worker, and a set of tasks each of which is associated with a location and an expiration time, we aim to find a schedule for the worker that maximizes the number of performed tasks. We first prove that this problem is NP-hard. Subsequently, for small number of tasks, we propose two exact algorithms based on dynamic programming and branch-and-bound strategies. Since the exact algorithms cannot scale for large number of tasks and/or limited amount of resources on mobile platforms, we propose different approximation algorithms. Finally, to strike a compromise between efficiency and accuracy, we present a progressive algorithms. We conducted a thorough experimental evaluation with both real-world and synthetic data on desktop and mobile platforms to compare the performance and accuracy of our proposed approaches. Numéro de notice : A2016-380 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0251-4 En ligne : http://dx.doi.org/10.1007/s10707-016-0251-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81147
in Geoinformatica > vol 20 n° 3 (July - September 2016) . - pp 529 – 568[article]The crowd gathers momentum / Tim Thornton in GEO: Geoconnexion international, vol 15 n° 7 (July - August 2016)
[article]
Titre : The crowd gathers momentum Type de document : Article/Communication Auteurs : Tim Thornton, Auteur Année de publication : 2016 Article en page(s) : pp 30 - 34 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] bathymétrie
[Termes IGN] données localisées des bénévoles
[Termes IGN] information géographiqueRésumé : (éditeur) With surveys of the seas and oceans worse than those of the Moon and Mars, a way needs to be found to fill in the gaps in our knowledge. Tim Thornton looks how crowd-sourced bathymetry is gaining ground as a tool to do just that. Numéro de notice : A2016-499 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81522
in GEO: Geoconnexion international > vol 15 n° 7 (July - August 2016) . - pp 30 - 34[article]Web-based geospatial multiple criteria decision analysis using open software and standards / Michelle C. Hamilton in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)
[article]
Titre : Web-based geospatial multiple criteria decision analysis using open software and standards Type de document : Article/Communication Auteurs : Michelle C. Hamilton, Auteur ; John A. Nedza, Auteur ; Patrick Doody, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 1667 - 1686 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse de données
[Termes IGN] données localisées des bénévoles
[Termes IGN] données multisources
[Termes IGN] format de données
[Termes IGN] informatique ubiquitaire
[Termes IGN] logiciel libre
[Termes IGN] outil d'aide à la décision
[Termes IGN] SIG participatif
[Termes IGN] système d'information géographique
[Termes IGN] WebSIGRésumé : (Auteur) The emerging ubiquity of geospatial information is providing an unprecedented opportunity to apply Geographical Information Systems (GIS)-based multiple criteria decision analysis (MCDA) to a broad spectrum of use cases. Volunteered geographic information, open GIS software, geoservice-based tools, cloud-based virtualized platforms, and worldwide collaboration of both domain experts and general users have greatly increased the quantity and accessibility of geospatially referenced data resources. Currently, there is a lack of GIS-based MCDA tools that integrate this decision-driven process within a widely accessible, robust geoframework environment, designed for user-friendly interaction. In this contribution, we present a conceptual workflow and proof-of-concept software application, Geocentric Environment for Analysis and Reasoning (GEAR), which provides a viable transition path to enhance geospatial MCDA in the age of open GIS. We propose a Web-based platform that leverages open-source geotechnologies to incorporate a wide variety of geospatial data formats in a common solution space to allow for spatially enhanced and time-relevant decision analysis. Through the proposed workflow, a user can ingest and modify heterogeneous data formats, exploit temporally tagged data sources, create multicriteria decision analysis models, and visualize the results in an iterative and collaborative workspace. A sample case study applied to disaster relief is used to demonstrate the prototype and workflow. This proof-of-concept Web-based application provides a notional pathway of how to connect open-source data to open-source analysis through a geospatially enabled MCDA workflow that could be virtually accessible to many levels of decision makers from individuals to entire organizations. Numéro de notice : A2016-321 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1155214 En ligne : http://dx.doi.org/10.1080/13658816.2016.1155214 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80941
in International journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1667 - 1686[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016042 RAB Revue Centre de documentation En réserve L003 Disponible 079-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Game-based crowdsourcing for image analysis / Hans Van'T Woud in GIM international [en ligne], vol 30 n° 6 (June 2016)PermalinkA geolinguistic approach for comprehending local influence in OpenStreetMap / Sterling Quinn in Cartographica, vol 51 n° 2 (Summer 2016)PermalinkOpen help / Paul Stewart in GEO: Geoconnexion international, vol 15 n° 6 (June 2016)PermalinkPosition validation in crowdsourced accessibility mapping / Rebecca M. Rice in Cartographica, vol 51 n° 2 (Summer 2016)PermalinkQualitative spatial logics for buffered geometries / Heshan Du in Journal of Artificial Intelligence Research, vol 56 (May - August 2016)PermalinkAnalysis 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)PermalinkCrowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information / Linda M. See in ISPRS International journal of geo-information, vol 5 n° 5 (May 2016)PermalinkEmergency management perspectives on volunteered geographic information: Opportunities, challenges and change / Billy Haworth in Computers, Environment and Urban Systems, vol 57 (May 2016)PermalinkFrom consumer to pro / Monica Miller Rodgers in GEO: Geoconnexion international, vol 15 n° 5 (May 2016)PermalinkJournées de la recherche IGN 2016 / Anonyme in Géomatique expert, n° 110 (mai - juin 2016)Permalink