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Investigating the quality of reverse geocoding services using text similarity techniques and logistic regression analysis / Batuhan Kilic in Cartography and Geographic Information Science, Vol 47 n° 4 (July 2020)  

Public [article]  inCartography and Geographic Information Science > Vol 47 n° 4 (July 2020) . - pp 336 - 349 Titre : Investigating the quality of reverse geocoding services using text similarity techniques and logistic regression analysis Type de document : Article/Communication Auteurs : Batuhan Kilic, Auteur ; Fatih Gülgen, Auteur Année de publication : 2020 Article en page(s) : pp 336 - 349 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] exploration de texte [Termes IGN] géocodage inverse [Termes IGN] géocodage par adresse postale [Termes IGN] logique binaire [Termes IGN] qualité des données [Termes IGN] régression [Termes IGN] similitude sémantique Résumé : (auteur) Location, usually defined by postal address information or geographic coordinate values, is one of the leading themes in geography. Famous global mapping services such as ArcGIS Online, Bing Maps, Google Maps, or Yandex Maps can provide users with address information of any geographic coordinates using reverse geocoding. The accuracy of retrieved addresses is quite essential for a service user. Several researchers have evaluated the accuracy of the process based on the positional errors between the retrieved and actual addresses. This article proposes a different assessment based on text similarity algorithms. In this study, the authors examine the outcomes of 15 different text similarity algorithms by comparing them with the reference data. They benefit from the binary logistic regression to evaluate the results. At the end of the case study, they conclude that the soft-term frequency/inverse document frequency algorithm is the most appropriate to measure the quality of postal addresses of all tested services. The Jaccard algorithm also produces successful results only for Google and Bing Maps services. Moreover, the study allows the reader to assess the results of reverse geocoding derived from the global map platforms that serve in the test region. Numéro de notice : A2020-339 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1746198 Date de publication en ligne : 20/04/2020 En ligne : https://doi.org/10.1080/15230406.2020.1746198 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95214 [article]

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Labelling hierarchy for street maps using centrality measures / Wasim Shoman in Cartographic journal (the), vol 55 n° 1 (February 2018)  

Public [article]  inCartographic journal (the) > vol 55 n° 1 (February 2018) . - pp 68 - 84 Titre : Labelling hierarchy for street maps using centrality measures Type de document : Article/Communication Auteurs : Wasim Shoman, Auteur ; Fatih Gülgen, Auteur Année de publication : 2018 Article en page(s) : pp 68 - 84 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] axe médian [Termes IGN] Boston (Massachusetts) [Termes IGN] classe d'objets [Termes IGN] écriture cartographique [Termes IGN] généralisation cartographique automatisée [Termes IGN] lisibilité perceptive [Termes IGN] placement automatique des écritures [Termes IGN] processus de hiérarchisation analytique floue [Termes IGN] représentation multiple [Termes IGN] réseau routier [Termes IGN] route [Termes IGN] Styled Layer Descriptor [Vedettes matières IGN] Généralisation Résumé : (Auteur) This paper proposes a compound hierarchy to be used in cartographic labelling of streets. The main purposes of this hierarchy are to ease navigation of street maps and to provide more understandability and legibility of street features for map users. The hierarchy uses centrality measures along with functional classes of the streets to order features according to their spatial importance in each used zoom level. The calculation of a proper radius, to be employed in the calculations of centrality measures, is based on extracting proper field of view in the map user’s focus status. The used measures are integrated using fuzzy-analytic hierarchy process, yielding proper coefficients to create the hierarchy. The hierarchy is applied for the thinning process and later for using the styled layer descriptor to label street features. Quality constrains are implemented to make the street labels more understandable and readable. Numéro de notice : A2018-257 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/00087041.2017.1323151 Date de publication en ligne : 19/05/2017 En ligne : https://doi.org/10.1080/00087041.2017.1323151 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90325 [article]

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Centrality-based hierarchy for street network generalization in multi-resolution maps / Wasim Shoman in Geocarto international, vol 32 n° 12 (December 2017)  

Public [article]  inGeocarto international > vol 32 n° 12 (December 2017) . - pp 1352 - 1366 Titre : Centrality-based hierarchy for street network generalization in multi-resolution maps Type de document : Article/Communication Auteurs : Wasim Shoman, Auteur ; Fatih Gülgen, Auteur Année de publication : 2017 Article en page(s) : pp 1352 - 1366 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] axe médian [Termes IGN] base de données multi-représentation [Termes IGN] extraction de traits caractéristiques [Termes IGN] généralisation automatique de données [Termes IGN] graphe [Termes IGN] processus de hiérarchisation analytique floue [Termes IGN] réseau routier [Termes IGN] route [Termes IGN] zoom [Vedettes matières IGN] Généralisation Résumé : (Auteur) This paper introduces a new hierarchy for cartographic generalisation processes, applied in street networks. The aims of implementing this hierarchy are to emphasise on significant street features, and to provide more free spaces between street features. The hierarchy is obtained from the functional classes of the features and four centrality measures in a street network, i.e. betweenness, reach, straightness and closeness extracted from a primary graph. The values of centrality measures change in every zoom level by calculating a radius parameter, which depends on the users’ field of view. The coefficients for the measures are constructed using a decision-making technique called fuzzy analytical hierarchy process (FAHP). The weights for each of the centrality measures are computed and normalised to form the proposed hierarchy. The hierarchy is applied and used later in the thinning process to omit insignificant features from the street network in medium scales. Numéro de notice : A2017-673 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1208683 En ligne : https://doi.org/10.1080/10106049.2016.1208683 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87164 [article]

Road hierarchy with integration of attributes using fuzzy-AHP / Fatih Gülgen in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)  

Public [article]  inGeocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 688-708 Titre : Road hierarchy with integration of attributes using fuzzy-AHP Type de document : Article/Communication Auteurs : Fatih Gülgen, Auteur Année de publication : 2014 Article en page(s) : pp 688-708 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse multicritère [Termes IGN] classification floue [Termes IGN] Istanbul (Turquie) [Termes IGN] réseau routier Résumé : (auteur) Road objects in a network data model are categorised into a hierarchical structure in accordance with their functions and capacities. In this study; five road attributes derived from semantic, geometric and topological properties of network data set (i.e. road class, road length and centralities of degree, closeness and betweenness) are utilised for the creation of road network hierarchy. The relationships with each attributes except road class and their effects on the determination of road importance are analysed by using a distribution graph and the equation of Pearson correlation coefficient. For creating road network hierarchy, integration process is achieved through the application of fuzzy analytic hierarchy process assuming attributes as the fuzzy criteria. The integration process is followed by the calculation of new priority attribute that indicates the importance of road objects. At the end of the process, road class, which is the most important attribute, is also used for the validation of proposed methodology. The results show that the new priority value of a road is superior to its each attribute value in hierarchical organisation. Numéro de notice : A2014-423 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.837102 En ligne : https://doi.org/10.1080/10106049.2013.837102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73960 [article]

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