Détail de l'auteur
Auteur Franz-Benjamin Mocnik |
Documents disponibles écrits par cet auteur (3)



Benford’s law and geographical information – the example of OpenStreetMap / Franz-Benjamin Mocnik in International journal of geographical information science IJGIS, vol 35 n° 9 (September 2021)
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Titre : Benford’s law and geographical information – the example of OpenStreetMap Type de document : Article/Communication Auteurs : Franz-Benjamin Mocnik, Auteur Année de publication : 2021 Article en page(s) : pp 1746 - 1772 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] distribution de Benford
[Termes IGN] données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] données statistiques
[Termes IGN] hétérogénéité spatiale
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesRésumé : (auteur) Few laws about geographical information are known, partly because geographical information is inherently complex. Tobler’s first law of Geography and, to a lesser degree, also his second law are among the rare exceptions. In this article, we explore the validity of Benford’s law in the context of the example of OpenStreetMap. More specifically, we compare the distribution of several numerical features of geographical entities to the Benford distribution. It is demonstrated that the numerical features examined are in accordance with Benford’s law to a varying degree with little variation between the types of geographical entities. Spatial patterns in the deviation from Benford’s law are shown to be similar for some aspects but to strongly differ for other ones. We show that many aspects of the data tend to deviate more than average from the Benford distribution in Africa, Greenland, smaller island countries, and, to a lesser degree, in South America. Also, the scale-dependency of Benford’s law is explored. Motivated by the use of Benford’s law to detect indications for fraud in economic and other datasets, future prospects and limitations to systematically develop intrinsic data quality measures are discussed. Numéro de notice : A2021-594 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1829627 Date de publication en ligne : 07/04/2021 En ligne : https://doi.org/10.1080/13658816.2020.1829627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98215
in International journal of geographical information science IJGIS > vol 35 n° 9 (September 2021) . - pp 1746 - 1772[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2021091 SL Revue Centre de documentation Revues en salle Disponible A grounding-based ontology of data quality measures / Franz-Benjamin Mocnik in Journal of Spatial Information Science, JoSIS, n° 16 ([01/02/2018])
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Titre : A grounding-based ontology of data quality measures Type de document : Article/Communication Auteurs : Franz-Benjamin Mocnik, Auteur ; Amin Mobasheri, Auteur ; Luisa Griesbaum, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 1 - 25 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] mesure de la qualité
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesRésumé : (auteur) Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic information (VGI), while also applying to other geographical data and data in general. An evaluation of the ontology in the context of data quality measures for OpenStreetMap (OSM) data, a well-known example of VGI, provides insights about which types of quality measures for OSM data have and which have not yet been considered in literature. Numéro de notice : A2018-683 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5311/JOSIS.2018.16.36 En ligne : https://josis.org/index.php/josis/article/view/86 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98693
in Journal of Spatial Information Science, JoSIS > n° 16 [01/02/2018] . - pp 1 - 25[article]Maps telling stories ? / Franz-Benjamin Mocnik in Cartographic journal (the), vol 55 n° 1 (February 2018)
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Titre : Maps telling stories ? Type de document : Article/Communication Auteurs : Franz-Benjamin Mocnik, Auteur ; David Fairbairn, Auteur Année de publication : 2018 Langues : Anglais (eng) Descripteur : [Termes IGN] échelle cartographique
[Termes IGN] perception
[Termes IGN] prise en compte du contexte
[Termes IGN] récit
[Termes IGN] relation spatiale
[Termes IGN] représentation
[Vedettes matières IGN] CartologieRésumé : (Auteur) Maps are good at representing geographic space, but texts have a stronger affordance of telling a story than maps. Telling stories is, however, important to make information more personal and to arrest the map user's attention. This paper contrasts the map and the text media in order to understand why texts are good at telling a story but conventional maps are not. We demonstrate that, by a modification of maps, appropriate structural features of the text media can be transferred to maps, which makes them more suitable for telling stories. This new concept for map design can lead to new interaction possibilities and provide insights into how maps can be used more effectively. Numéro de notice : A2018-256 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/00087041.2017.1304498 Date de publication en ligne : 10/04/2017 En ligne : https://doi.org/10.1080/00087041.2017.1304498 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90322
in Cartographic journal (the) > vol 55 n° 1 (February 2018)[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2018011 RAB Revue Centre de documentation En réserve L003 Disponible