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Rule-guided human classification of Volunteered Geographic Information / Ahmed Loai Ali in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)
[article]
Titre : Rule-guided human classification of Volunteered Geographic Information Type de document : Article/Communication Auteurs : Ahmed Loai Ali, Auteur ; Zoe Falomir, Auteur ; Falko Schmid, Auteur ; Christian Freksa, Auteur Année de publication : 2017 Article en page(s) : pp 3 – 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] classification
[Termes IGN] données descriptives
[Termes IGN] données localisées des bénévoles
[Termes IGN] données multisources
[Termes IGN] exploration de données
[Termes IGN] imprécision des données
[Termes IGN] production participative
[Termes IGN] règle d'association
[Termes IGN] relation topologiqueRésumé : (auteur) During the last decade, web technologies and location sensing devices have evolved generating a form of crowdsourcing known as Volunteered Geographic Information (VGI). VGI acted as a platform of spatial data collection, in particular, when a group of public participants are involved in collaborative mapping activities: they work together to collect, share, and use information about geographic features. VGI exploits participants’ local knowledge to produce rich data sources. However, the resulting data inherits problematic data classification. In VGI projects, the challenges of data classification are due to the following: (i) data is likely prone to subjective classification, (ii) remote contributions and flexible contribution mechanisms in most projects, and (iii) the uncertainty of spatial data and non-strict definitions of geographic features. These factors lead to various forms of problematic classification: inconsistent, incomplete, and imprecise data classification. This research addresses classification appropriateness. Whether the classification of an entity is appropriate or inappropriate is related to quantitative and/or qualitative observations. Small differences between observations may be not recognizable particularly for non-expert participants. Hence, in this paper, the problem is tackled by developing a rule-guided classification approach. This approach exploits data mining techniques of Association Classification (AC) to extract descriptive (qualitative) rules of specific geographic features. The rules are extracted based on the investigation of qualitative topological relations between target features and their context. Afterwards, the extracted rules are used to develop a recommendation system able to guide participants to the most appropriate classification. The approach proposes two scenarios to guide participants towards enhancing the quality of data classification. An empirical study is conducted to investigate the classification of grass-related features like forest, garden, park, and meadow. The findings of this study indicate the feasibility of the proposed approach. Numéro de notice : A2017-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85093
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 3 – 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017053 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Assessing crowdsourced POI quality: combining methods based on reference data, history, and spatial relations / Guillaume Touya in ISPRS International journal of geo-information, vol 6 n° 3 (March 2017)
[article]
Titre : Assessing crowdsourced POI quality: combining methods based on reference data, history, and spatial relations Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Vyron Antoniou, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Marie-Dominique Van Damme , Auteur Année de publication : 2017 Projets : ENERGIC / Capineri, Cristina Article en page(s) : pp 1 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse multicritère
[Termes IGN] changement temporel
[Termes IGN] données localisées des bénévoles
[Termes IGN] évaluation des données
[Termes IGN] OpenStreetMap
[Termes IGN] point d'intérêt
[Termes IGN] production participative
[Termes IGN] qualité des donnéesRésumé : (Auteur) With the development of location-aware devices and the success and high use of Web 2.0 techniques, citizens are able to act as sensors by contributing geographic information. In this context, data quality is an important aspect that should be taken into account when using this source of data for different purposes. The goal of the paper is to analyze the quality of crowdsourced data and to study its evolution over time. We propose two types of approaches: (1) use the intrinsic characteristics of the crowdsourced datasets; or (2) evaluate crowdsourced Points of Interest (POIs) using external datasets (i.e., authoritative reference or other crowdsourced datasets), and two different methods for each approach. The potential of the combination of these approaches is then demonstrated, to overcome the limitations associated with each individual method. In this paper, we focus on POIs and places coming from the very successful crowdsourcing project: OpenStreetMap. The results show that the proposed approaches are complementary in assessing data quality. The positive results obtained for data matching show that the analysis of data quality through automatic data matching is possible but considerable effort and attention are needed for schema matching given the heterogeneity of OSM and the representation of authoritative datasets. For the features studied, it can be noted that change over time is sometimes due to disagreements between contributors, but in most cases the change improves the quality of the data. Numéro de notice : A2017-188 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi6030080 Date de publication en ligne : 14/03/2017 En ligne : http://dx.doi.org/10.3390/ijgi6030080 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84796
in ISPRS International journal of geo-information > vol 6 n° 3 (March 2017) . - pp 1 - 29[article]A review of sampling effects and response bias in internet participatory mapping (PPGIS/PGIS/VGI) / Greg Brown in Transactions in GIS, vol 21 n° 1 (February 2017)
[article]
Titre : A review of sampling effects and response bias in internet participatory mapping (PPGIS/PGIS/VGI) Type de document : Article/Communication Auteurs : Greg Brown, Auteur Année de publication : 2017 Article en page(s) : pp 39 – 56 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] compétence
[Termes IGN] données localisées des bénévoles
[Termes IGN] échantillonnage
[Termes IGN] erreur de rendu
[Termes IGN] panel de référence
[Termes IGN] planification
[Termes IGN] production participative
[Termes IGN] qualité des données
[Termes IGN] SIG participatif
[Termes IGN] utilisation du solRésumé : (auteur) Global interest in participatory mapping described as public participation GIS (PPGIS), participatory GIS (PGIS), and volunteered geographic information (VGI) continues to grow, but systematic study of spatial data quality and sampling effects is limited. This article provides a review and meta-analysis of Internet-based PPGIS studies conducted during the period 2006–2015 (n=26) to answer the following research questions: (1) How does mapping effort, as a proxy measure for spatial data quality, differ by sampling group? (2) Does the purpose and context of PPGIS influence mapping results? (3) What is the potential for mapping bias through sampling design? (4) Given the results, what should be the focus of future PPGIS research? Mapping effort was highest in sampling groups whose livelihoods were closely related to the purpose of the study, there was greater mapping effort in household sampling groups compared to volunteer groups, and participant domicile had strong effects on mapped results through spatial discounting. The use of online Internet panels provides higher response rates but lower spatial data quality. Future research should focus on increasing sampling response rates, assessing social trade-offs using alternative spatial weighting schemes, and examining the capacity of the public to select land use alternatives as a complement to traditional expert-driven planning systems. Numéro de notice : A2017-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12207 En ligne : http://dx.doi.org/10.1111/tgis.12207 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84682
in Transactions in GIS > vol 21 n° 1 (February 2017) . - pp 39 – 56[article]
Titre : Mapping and the citizen sensor Type de document : Monographie Auteurs : Giles M. Foody, Éditeur scientifique ; Linda M. See, Éditeur scientifique ; Steffen Fritz, Éditeur scientifique ; Peter Mooney, Éditeur scientifique ; Ana-Maria Olteanu-Raimond , Éditeur scientifique ; Cidália Costa Fonte, Éditeur scientifique ; Vyron Antoniou, Éditeur scientifique Editeur : Londres : Ubiquity press Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie
[Termes IGN] cartographie collaborative
[Termes IGN] citoyen
[Termes IGN] données localisées des bénévoles
[Termes IGN] production participativeRésumé : (auteur) Maps are a fundamental resource in a diverse array of applications ranging from everyday activities, such as route planning through the legal demarcation of space to scientific studies, such as those seeking to understand biodiversity and inform the design of nature reserves for species conservation. For a map to have value, it should provide an accurate and timely representation of the phenomenon depicted and this can be a challenge in a dynamic world. Fortunately, mapping activities have benefitted greatly from recent advances in geoinformation technologies. Satellite remote sensing, for example, now offers unparalleled data acquisition and authoritative mapping agencies have developed systems for the routine production of maps in accordance with strict standards. Until recently, much mapping activity was in the exclusive realm of authoritative agencies but technological development has also allowed the rise of the amateur mapping community. The proliferation of inexpensive and highly mobile and location aware devices together with Web 2.0 technology have fostered the emergence of the citizen as a source of data. Mapping presently benefits from vast amounts of spatial data as well as people able to provide observations of geographic phenomena, which can inform map production, revision and evaluation. The great potential of these developments is, however, often limited by concerns. The latter span issues from the nature of the citizens through the way data are collected and shared to the quality and trustworthiness of the data. This book reports on some of the key issues connected with the use of citizen sensors in mapping. It arises from a European Co-operation in Science and Technology (COST) Action, which explored issues linked to topics ranging from citizen motivation, data acquisition, data quality and the use of citizen derived data in the production of maps that rival, and sometimes surpass, maps arising from authoritative agencies. Numéro de notice : 17448 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.5334/bbf Date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.5334/bbf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89336 Contient
- Mapping and the citizen sensor, ch 1. Mapping and the citizen sensor / Giles M. Foody (2017)
- Mapping and the citizen sensor, ch 13. VGI in national mapping agencies: experiences and recommendations / Ana-Maria Olteanu-Raimond (2017)
- Mapping and the citizen sensor, ch 4. Production of topographic maps with VGI: quality management and automation / Guillaume Touya (2017)
- Mapping and the citizen sensor, ch 6. Considerations of privacy, ethics and legal issues in volunteered geographic information / Peter Mooney (2017)
- Mapping and the citizen sensor, ch 10. The relevance of protocols for VGI collection / Marco Minghini (2017)
- Mapping and the citizen sensor, ch 16. The future of VGI / Vyron Antoniou (2017)
Towards a protocol for the collection of VGI vector data / Peter Mooney in ISPRS International journal of geo-information, vol 5 n° 11 (November 2016)
[article]
Titre : Towards a protocol for the collection of VGI vector data Type de document : Article/Communication Auteurs : Peter Mooney, Auteur ; Marco Minghini, Auteur ; Mari Laasko, Auteur ; Vyron Antoniou, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Andriani Skopeliti, Auteur Année de publication : 2016 Projets : Mapping and the citizen sensor / Foody, Giles M. Article en page(s) : pp 1 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] données vectorielles
[Termes IGN] intégration de données
[Termes IGN] lever des détails
[Termes IGN] production participative
[Termes IGN] spécification
[Termes IGN] vectorisationRésumé : (Auteur) A protocol for the collection of vector data in Volunteered Geographic Information (VGI) projects is proposed. VGI is a source of crowdsourced geographic data and information which is comparable, and in some cases better, than equivalent data from National Mapping Agencies (NMAs) and Commercial Surveying Companies (CSC). However, there are many differences in how NMAs and CSC collect, analyse, manage and distribute geographic information to that of VGI projects. NMAs and CSC make use of robust and standardised data collection protocols whilst VGI projects often provide guidelines rather than rigorous data collection specifications. The proposed protocol addresses formalising the collection and creation of vector data in VGI projects in three principal ways: by manual vectorisation; field survey; and reuse of existing data sources. This protocol is intended to be generic rather than being linked to any specific VGI project. We believe that this is the first protocol for VGI vector data collection that has been formally described in the literature. Consequently, this paper shall serve as a starting point for on-going development and refinement of the protocol. Numéro de notice : A2016--120 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi5110217 Date de publication en ligne : 17/11/2016 En ligne : http://dx.doi.org/10.3390/ijgi5110217 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84789
in ISPRS International journal of geo-information > vol 5 n° 11 (November 2016) . - pp 1 - 23[article]Documents numériques
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A2016--120_.pdfAdobe Acrobat PDF Game-based crowdsourcing for image analysis / Hans Van'T Woud in GIM international [en ligne], vol 30 n° 6 (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)PermalinkFaire des SIG avec et pour les citoyens / Jens Ingensand in Géomatique suisse, vol 114 n° 3 (mars 2016)PermalinkA joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing / Chengjiang Long in International journal of computer vision, vol 116 n° 2 (15th January 2016)PermalinkEnhancing cadastral surveys by facilitating the participation of owners / G. Mourafetis in Survey review, vol 47 n° 344 (September 2015)PermalinkQuantitative evaluation of volunteered geographic information paradigms: social location-based services case study / B. Lipej in Survey review, vol 47 n° 344 (September 2015)PermalinkTowards the production of digital terrain models from volunteered GPS trajectories / I. Massad in Survey review, vol 47 n° 344 (September 2015)Permalinkvol 47 n° 344 - September 2015 - FIG Commission 3 Annual Workshop “Geospatial Crowdsourcing and VGI: Establishment of SDI & SIM”, Bologna, Italy, 4-7 November 2014 (Bulletin de Survey review)PermalinkBuilding a hybrid land cover map with crowdsourcing and geographically weighted regression / Linda M. See in ISPRS Journal of photogrammetry and remote sensing, vol 103 (May 2015)PermalinkMany eyes make light work / Simon Chester in Position, n° 76 (April - May 2015)Permalink