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Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method / Wen-Bin Zhang in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)
[article]
Titre : Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method Type de document : Article/Communication Auteurs : Wen-Bin Zhang, Auteur ; Yee Leung, Auteur ; Jiang-Hong Ma, Auteur Année de publication : 2019 Article en page(s) : pp 1807 - 1828 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] incertitude de position
[Termes IGN] OpenStreetMap
[Termes IGN] précision de localisation
[Termes IGN] qualité des données
[Termes IGN] réseau routier
[Termes IGN] SIG participatif
[Termes IGN] zone tamponRésumé : (auteur) Volunteered geographic information (VGI) is crowdsourced information that can enrich and enhance research and applications based on geo-referenced data. However, the quality of VGI is of great concern, and positional accuracy is a fundamental basis for the VGI quality assurance. A buffer-zone method can be used for its assessment, but the buffer radius in this technique is subjectively specified; as result, different selections of the buffer radius lead to different positional accuracies. To solve this problem, a statistically defined buffer zone for the positional accuracy assessment in VGI is proposed in this study. To facilitate practical applications, we have also developed an iterative method to obtain a theoretically defined buffer zone. In addition to the positional accuracy assessment, we have derived a measure of positional quality, which comprises the assessment of positional accuracy and the level of confidence in such assessment determined with respect to a statistically defined buffer zone. To illustrate and substantiate the theoretical arguments, both numerical simulations and real-life experiments are performed using OpenStreetMap. The experimental results confirm the high significance of the proposed statistical approach to the buffer zone-based assessment of the positional uncertainty in VGI. Numéro de notice : A2019-390 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1606430 Date de publication en ligne : 29/04/2019 En ligne : https://doi.org/10.1080/13658816.2019.1606430 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93483
in International journal of geographical information science IJGIS > vol 33 n° 9 (September 2019) . - pp 1807 - 1828[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2019091 RAB Revue Centre de documentation En réserve L003 Disponible 079-2019092 RAB Revue Centre de documentation En réserve L003 Disponible Cultures of Enthusiasm: An Ethnographic Study of Amateur Map-Maker Communities / Mike Duggan in Cartographica, vol 54 n° 3 (Fall 2019)
[article]
Titre : Cultures of Enthusiasm: An Ethnographic Study of Amateur Map-Maker Communities Type de document : Article/Communication Auteurs : Mike Duggan, Auteur Année de publication : 2019 Article en page(s) : pp 217 - 229 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] carte thématique
[Termes IGN] données localisées des bénévoles
[Termes IGN] épistémologie
[Termes IGN] ethnographie
[Termes IGN] OpenStreetMap
[Termes IGN] production cartographiqueRésumé : (auteur) Further attention should be paid to contextualizing the spaces and practices of amateur map-making. Doing so will provide further insight into the ways that maps, mapping epistemologies, and mapper identities emerge in the practices of everyday life. In order to deconstruct the map, and ultimately the power of maps, it is necessary to investigate maps from the bottom up as well as the top down. The motivations of amateur cartographers, the contexts in which map-making takes place, and the technological processes involved are all important factors to consider when examining how and why maps are produced. Empirical ethnographic evidence from a study of OpenStreetMap and humanitarian “mapping parties” is presented here to demonstrate how the often overlooked cultures of amateur map-making offer novel perspectives on who contemporary map-makers are and what motivates them to map. It is shown that amateur map-making is a broad category that includes close-knit hobby communities and more diverse groups of enthusiastic volunteers. As cartography continues to open up and become more accessible through a range of digital mapping technologies, studying these shifts will be important for understanding how and why the role of the map in contemporary life is changing. Numéro de notice : A2019-542 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.54.3.2018-0002 Date de publication en ligne : 18/09/2017 En ligne : https://doi.org/10.3138/cart.54.3.2018-0002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94182
in Cartographica > vol 54 n° 3 (Fall 2019) . - pp 217 - 229[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2019031 SL Revue Centre de documentation Revues en salle Disponible A filtering-based approach for improving crowdsourced GNSS traces in a data update context / Stefan Ivanovic in ISPRS International journal of geo-information, vol 8 n° 9 (September 2019)
[article]
Titre : A filtering-based approach for improving crowdsourced GNSS traces in a data update context Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : 17 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] apprentissage automatique
[Termes IGN] approche participative
[Termes IGN] base de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] filtrage du bruit
[Termes IGN] mise à jour de base de données
[Termes IGN] montagne
[Termes IGN] qualité des données
[Termes IGN] sport
[Termes IGN] système d'information géographique
[Termes IGN] trace GPS
[Termes IGN] valeur aberranteRésumé : (auteur) Traces collected by citizens using GNSS (Global Navigation Satellite System) devices during sports activities such as running, hiking or biking are now widely available through different sport-oriented collaborative websites. The traces are collected by citizens for their own purposes and frequently shared with the sports community on the internet. Our research assumption is that crowdsourced GNSS traces may be a valuable source of information to detect updates in authoritative datasets. Despite their availability, the traces present some issues such as poor metadata, attribute incompleteness and heterogeneous positional accuracy. Moreover, certain parts of the traces (GNSS points composing the traces) are results of the displacements made out of the existing paths. In our context (i.e., update authoritative data) these off path GNSS points are considered as noise and should be filtered. Two types of noise are examined in this research: Points representing secondary activities (e.g., having a lunch break) and points representing errors during the acquisition. The first ones we named secondary human behaviour (SHB), whereas we named the second ones outliers. The goal of this paper is to improve the smoothness of traces by detecting and filtering both SHB and outliers. Two methods are proposed. The first one allows for the detection secondary human behaviour by analysing only traces geometry. The second one is a rule-based machine learning method that detects outliers by taking into account the intrinsic characteristics of points composing the traces, as well as the environmental conditions during traces acquisition. The proposed approaches are tested on crowdsourced GNSS traces collected in mountain areas during sports activities. Numéro de notice : A2019-626 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi8090380 Date de publication en ligne : 30/08/2019 En ligne : https://doi.org/10.3390/ijgi8090380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95359
in ISPRS International journal of geo-information > vol 8 n° 9 (September 2019) . - 17 p.[article]Fine-tuning the usability of a crowdsourced indoor navigation system / Kristien Ooms in Cartography and Geographic Information Science, Vol 46 n° 5 (September 2019)
[article]
Titre : Fine-tuning the usability of a crowdsourced indoor navigation system Type de document : Article/Communication Auteurs : Kristien Ooms, Auteur ; Alexander Duytschaever, Auteur ; Koenraad Stroeken, Auteur ; Annelies Verdoolaege, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 456 - 473 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] conception orientée utilisateur
[Termes IGN] convivialité
[Termes IGN] données localisées des bénévoles
[Termes IGN] interface web
[Termes IGN] itinéraire
[Termes IGN] méthode agile
[Termes IGN] positionnement en intérieur
[Termes IGN] production participative
[Termes IGN] SIG participatifRésumé : (auteur) This paper describes the development of a crowdsourced indoor navigation system named SoleWay. Because the input of volunteers is crucial, special attention was paid to the usability of the system at different stages throughout its development. Besides a user-friendly system, this has resulted in a number of important insights that can facilitate the development of future systems: the importance social motivation of potential users, integration of a stepwise approach (with a gradual release and subsequent user evaluations), and adaptation to user requirements. These elements combined are also crucial to be able to obtain a critical crowd that can sustain a viable content. Numéro de notice : A2019-424 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2018.1535331 Date de publication en ligne : 26/11/2018 En ligne : https://doi.org/10.1080/15230406.2018.1535331 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93556
in Cartography and Geographic Information Science > Vol 46 n° 5 (September 2019) . - pp 456 - 473[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2019051 RAB Revue Centre de documentation En réserve L003 Disponible A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena / Guiming Zhang in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)
[article]
Titre : A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena Type de document : Article/Communication Auteurs : Guiming Zhang, Auteur ; A - Xing Zhu, Auteur Année de publication : 2019 Article en page(s) : pp 1873 - 1893 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Aves
[Termes IGN] carte thématique
[Termes IGN] distribution spatiale
[Termes IGN] données localisées des bénévoles
[Termes IGN] échantillon
[Termes IGN] erreur d'échantillon
[Termes IGN] erreur de positionnement
[Termes IGN] erreur systématique
[Termes IGN] habitat (nature)
[Termes IGN] modèle de simulation
[Termes IGN] phénomène géographique
[Termes IGN] pondération
[Termes IGN] précision de localisation
[Termes IGN] régression logistique
[Termes IGN] representativité
[Termes IGN] science citoyenne
[Termes IGN] Wisconsin (Etats-Unis)Résumé : (auteur) Volunteered geographic information (VGI) contains valuable field observations that represent the spatial distribution of geographic phenomena. As such, it has the potential to provide regularly updated low-cost field samples for predictively mapping the spatial variations of geographic phenomena. The predictive mapping of geographic phenomena often requires representative samples for high mapping accuracy, but samples consisting of VGI observations are often not representative as they concentrate on specific geographic areas (i.e. spatial bias) due to the opportunistic nature of voluntary observation efforts. In this article, we propose a representativeness-directed approach to mitigate spatial bias in VGI for predictive mapping. The proposed approach defines and quantifies sample representativeness by comparing the probability distributions of sample locations and the mapping area in the environmental covariate space. Spatial bias is mitigated by weighting the sample locations to maximize their representativeness. The approach is evaluated using species habit suitability mapping as a case study. The results show that the accuracy of predictive mapping using weighted sample locations is higher than using unweighted sample locations. A positive relationship between sample representativeness and mapping accuracy is also observed, suggesting that sample representativeness is a valid indicator of predictive mapping accuracy. This approach mitigates spatial bias in VGI to improve predictive mapping accuracy. Numéro de notice : A2019-392 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1615071 Date de publication en ligne : 10/05/2019 En ligne : https://doi.org/10.1080/13658816.2019.1615071 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93490
in International journal of geographical information science IJGIS > vol 33 n° 9 (September 2019) . - pp 1873 - 1893[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2019091 RAB Revue Centre de documentation En réserve L003 Disponible 079-2019092 RAB Revue Centre de documentation En réserve L003 Disponible “Mapping-with”: The Politics of (Counter-)classification in OpenStreetMap / Clancy Wilmott in Cartographic perspectives, n° 92 (2019)PermalinkAccuracy assessment of speed values calculated from GNSS tracks of roads obtained from VGI / Antonio Tomás Mozas-Calvache in Survey review, vol 51 n° 367 (July 2019)PermalinkAnalysis 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)PermalinkSpace, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data / Zheye Wang in Cartography and Geographic Information Science, Vol 46 n° 4 (July 2019)PermalinkVGI contributors’ awareness of geographic information quality and its effect on data quality: a case study from Japan / Jun Yamashita in International journal of cartography, vol 5 n° 2-3 (July - November 2019)PermalinkCrowdsourcing geographic information with a gamification approach / Roberta Martella in Geodetski vestnik, vol 63 n° 2 (June - August 2019)PermalinkMultilane roads extracted from the OpenStreetMap urban road network using random forests / Yongyang Xu in Transactions in GIS, vol 23 n° 2 (April 2019)PermalinkLand cover classification in combined elevation and optical images supported by OSM data, mixed-level features, and non-local optimization algorithms / Dimitri Bulatov in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 3 (March 2019)PermalinkCorrecting rural building annotations in OpenStreetMap using convolutional neural networks / John E. Vargas-Muñoz in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)PermalinkEnrichissement d'orthophotographie par des données OpenStreetMap pour l'apprentissage machine / Gauthier Fillières-Riveau (2019)PermalinkPermalinkPermalinkLe vandalisme dans l’information géographique volontaire, détection de l’IG volontaire vandalisée : du concept à la détection non supervisée d’anomalie / Quy Thy Truong in Revue internationale de géomatique, vol 29 n° 1 (janvier - mars 2019)PermalinkA vélo au travers des Andes, pour OpenStreetMap / Anonyme in Géomatique expert, n° 126 (janvier - février 2019)PermalinkZoome encore un peu … Une interface de saisie de données géographiques qui permet d’être au bon niveau de détail / Guillaume Touya (2019)PermalinkThe use of geometric indicators to estimate the quantitative completeness of street blocks in OpenStreetMap / Qi Zhou in Transactions in GIS, vol 22 n° 6 (December 2018)PermalinkUrban impervious surface estimation from remote sensing and social data / Yan Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 12 (December 2018)PermalinkA hybrid ensemble learning method for tourist route recommendations based on geo-tagged social networks / Lin Wan in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)PermalinkOn the spatial distribution of buildings for map generalization / Zhiwei Wei in Cartography and Geographic Information Science, Vol 45 n° 6 (November 2018)PermalinkToward a participatory VGI methodology : crowdsourcing information on regional food assets / Victoria Fast in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)Permalink