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An interactive system for intrinsic validation of citizen science data for species distribution mapping and modelling applications / Hossein Vahidi (2016) 

Public contenu dans Proceedings of the 13th International Conference on Location-Based Services, Vienna, 14 - 16 november 2016 / Georg Gartner (2016)  Titre : An interactive system for intrinsic validation of citizen science data for species distribution mapping and modelling applications Type de document : Article/Communication Auteurs : Hossein Vahidi, Auteur ; Brian Klinkenberg, Auteur ; Wanglin Yan, Auteur Editeur : [s.l.] : [s.n.] Année de publication : 2016 Conférence : LBS 2016, 13th International Conference on Location-Based Services 14/11/2016 16/11/2016 Vienne Autriche Importance : pp 214 - 220 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] carte de la végétation [Termes IGN] contenu généré par les utilisateurs [Termes IGN] données localisées des bénévoles [Termes IGN] flore locale [Termes IGN] participation du public [Termes IGN] qualité des données [Termes IGN] répartition géographique [Termes IGN] science citoyenne Résumé : (auteur) This paper presents a conceptual model for assurance of the quality of species occurrence observations in citizen science projects. To this end, we adopted the notion of trust as an indicator of VGI quality and defined the concept of trustworthiness of VGI as a function of four main contexts: consistency with habitat, consistency with neighbors, consistency with the temporal life cycle of the species, and the competence and credibility of volunteers. In this sense, the quality of an observation is quantified in terms of the level of the trustworthiness of the submission by using fuzzy set theory. Moreover, the different possible ex-post and ex-ante architecture of the proposed system is briefly discussed to empower the end user (data consumer), expert reviewers, and volunteers (data producers) to perform more robust and precise VGI quality assurance practices. Finally, the paper ends with concluding remarks and some tips for future research directions. Numéro de notice : C2016-025 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85181

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The choice of window size in approximating topographic surfaces from digital elevation models / M. Albani in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 6 (october 2004) . - pp 577 - 593 Titre : The choice of window size in approximating topographic surfaces from digital elevation models Type de document : Article/Communication Auteurs : M. Albani, Auteur ; Brian Klinkenberg, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 577 - 593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] autocorrélation spatiale [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] erreur de mesure [Termes IGN] méthode des moindres carrés [Termes IGN] modèle numérique de surface [Termes IGN] profil topographique [Termes IGN] propagation d'erreur [Termes IGN] topographie locale Résumé : (Auteur) Quantitative surface analysis through quadratic modelling of Digital Elevation Models (DEMs) is a promising tool for automatically describing the physical environment in ecological studies of terrestrial landscapes. Fundamental topographic variables such as slope, aspect, plan and profile curvature can be simply calculated from the parameters of a conic equation fitted to a DEM window through the least-squares method. The scale of the analysis, defined by the size of the DEM window used to fit the conic equation, affects both the estimated value of the topographic variables and the propagation of elevation errors to derived topographic variables. The least-squares method is amenable to the analytical treatment of the propagation of elevation errors to the derived topographical variables. A general analytical model of error propagation is presented that accounts for the effects of window size and of spatial autocorrelation in elevation errors. The method is based on the Taylor approximation of the least-square fitting equation and allows for the presence of stationary autocorrelation in the elevation errors. In numerical simulations with DEMs from British Columbia, Canada, it is shown that increasing the size of evaluation windows effectively reduces the propagation of elevation errors to the derived topographic variables. However, this was obtained at the expense of topographic detail. A methodology is proposed to evaluate quantitatively the loss of topographic detail through a X2-test of the corrected residuals in the immediate neighbourhood of the evaluation point. This methodology, in combination with the analytical model of error propagation, can be used to select the scale or range of scales at which to calculate topographic variables from a DEM. Numéro de notice : A2004-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810410001701987 En ligne : https://doi.org/10.1080/13658810410001701987 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26878 [article]

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