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A method for checking the quality of geographic metadata based on ISO 19157 / Manuel A. Ureña-Cámara in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 1 - 27 Titre : A method for checking the quality of geographic metadata based on ISO 19157 Type de document : Article/Communication Auteurs : Manuel A. Ureña-Cámara, Auteur ; Javier Nogueras-Iso, Auteur ; Javier Lacasta, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2019 Article en page(s) : pp 1 - 27 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] contrôle qualité automatique [Termes IGN] hétérogénéité sémantique [Termes IGN] interopérabilité [Termes IGN] Java (langage de programmation) [Termes IGN] métadonnées géographiques [Termes IGN] norme ISO [Termes IGN] qualité des metadonnées [Termes IGN] XML Résumé : (auteur) With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata. Numéro de notice : A2019-018 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1515437 Date de publication en ligne : 17/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1515437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91675 [article]

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Influence of sample size on automatic positional accuracy assessment methods for urban areas / Francisco Javier Ariza-López in ISPRS International journal of geo-information, vol 7 n° 6 (June 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 6 (June 2018) Titre : Influence of sample size on automatic positional accuracy assessment methods for urban areas Type de document : Article/Communication Auteurs : Francisco Javier Ariza-López, Auteur ; Juan J. Ruiz-Lendínez, Auteur ; Manuel A. Ureña-Cámara, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données urbaines [Termes IGN] distance de Kolmogorov-Smirnov [Termes IGN] échantillon [Termes IGN] polygone [Termes IGN] précision de localisation [Termes IGN] précision planimétrique [Termes IGN] qualité des données [Termes IGN] zone urbaine Résumé : (Auteur) In recent years, new approaches aimed to increase the automation level of positional accuracy assessment processes for spatial data have been developed. However, in such cases, an aspect as significant as sample size has not yet been addressed. In this paper, we study the influence of sample size when estimating the planimetric positional accuracy of urban databases by means of an automatic assessment using polygon-based methodology. Our study is based on a simulation process, which extracts pairs of homologous polygons from the assessed and reference data sources and applies two buffer-based methods. The parameter used for determining the different sizes (which range from 5 km up to 100 km) has been the length of the polygons’ perimeter, and for each sample size 1000 simulations were run. After completing the simulation process, the comparisons between the estimated distribution functions for each sample and population distribution function were carried out by means of the Kolmogorov–Smirnov test. Results show a significant reduction in the variability of estimations when sample size increased from 5 km to 100 km. Numéro de notice : A2018-346 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7060200 Date de publication en ligne : 28/05/2018 En ligne : https://doi.org/10.3390/ijgi7060200 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90570 [article]

A point-based methodology for the automatic positional accuracy assessment of geospatial databases / Juan J. Ruiz-Lendínez in Survey review, vol 48 n° 349 (July 2016)  

Public [article]  inSurvey review > vol 48 n° 349 (July 2016) . - pp 269 - 277 Titre : A point-based methodology for the automatic positional accuracy assessment of geospatial databases Type de document : Article/Communication Auteurs : Juan J. Ruiz-Lendínez, Auteur ; Francisco Javier Ariza-López, Auteur ; Manuel A. Ureña-Cámara, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données localisées [Termes IGN] évaluation [Termes IGN] points homologues [Termes IGN] polygone [Termes IGN] précision du positionnement [Termes IGN] qualité des données Résumé : (auteur) This paper is based on our earlier paper (Ruiz-Lendínez et al., 2013) of this work and its new contribution is to develop a point-based methodology for the automatic assessment of positional and geometric components of spatial data. The starting point for our approach is the set of homologous polygons obtained according to the methodology developed in Ruiz-Lendínez et al. (2013). From these pairs of polygons, we first have identified and computed homologous points using a metric for comparing polygonal shapes defined by Arkin et al. (1991) and then we have applied a point-based standard developed for assessing the positional accuracy of spatial data. Specifically, we have employed the National Standard Spatial Data Accuracy (NSSDA) standard. The results obtained demonstrate the viability of this point-based evaluation and its potential compared to traditional methods. Numéro de notice : A2016-624 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1179/1752270615Y.0000000030 En ligne : https://doi.org/10.1179/1752270615Y.0000000030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81827 [article]