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Methods for matching English language addresses / Keshav Ramani in Transactions in GIS, vol 27 n° 2 (april 2023)  

Public [article]  inTransactions in GIS > vol 27 n° 2 (april 2023) . - pp 347 - 363 Titre : Methods for matching English language addresses Type de document : Article/Communication Auteurs : Keshav Ramani, Auteur ; Daniel Borrajo, Auteur Année de publication : 2023 Article en page(s) : pp 347 - 363 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] anglais (langue) [Termes IGN] appariement d'adresses [Termes IGN] apprentissage profond [Termes IGN] base de données d'adresses [Termes IGN] conversion de données Résumé : (auteur) Addresses occupy a niche location within the landscape of textual data, due to the positional importance carried by every word, and the geographic scope it refers to. The task of matching addresses happens every day and is present in various fields such as mail redirection, entity resolution, etc. Our work defines, and formalizes a framework to generate matching and mismatching pairs of addresses in the English language, and use it to evaluate various methods to automatically perform address matching. These methods vary widely from distance-based approaches to deep learning models. By studying the Precision, Recall, and Accuracy metrics of these approaches, we obtain an understanding of the best suited method for this setting of the address matching task. Numéro de notice : A2023-195 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.13027 Date de publication en ligne : 17/03/2023 En ligne : https://doi.org/10.1111/tgis.13027 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103080 [article]

Light mode and dark mode: Which one is suitable when using public-facing web maps? An experimental evaluation using eye-tracking / Lige Qiao in Transactions in GIS, vol 27 n° 2 (april 2023)  

Public [article]  inTransactions in GIS > vol 27 n° 2 (april 2023) . - pp 516 - 540 Titre : Light mode and dark mode: Which one is suitable when using public-facing web maps? An experimental evaluation using eye-tracking Type de document : Article/Communication Auteurs : Lige Qiao, Auteur ; Mingguang Wu, Auteur Année de publication : 2023 Article en page(s) : pp 516 - 540 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cognition [Termes IGN] Google Maps [Termes IGN] intensité lumineuse [Termes IGN] lecture de carte [Termes IGN] lisibilité optique [Termes IGN] oculométrie [Termes IGN] rayonnement lumineux [Termes IGN] visualisation cartographique [Termes IGN] web mapping [Vedettes matières IGN] Cartologie Résumé : (auteur) Dark maps, which are also called dark modes or dark themes, have gained popularity, but their usability has not been experimentally evaluated. This article presents a user experiment that uses eye-tracking to assess the usability of dark and light maps. Here, two widely used web maps, Google Maps and Gaode Maps, are selected at the street and city scales. Eight map-use tasks are designed and cover four operations (identify, compare, rank, and associate) with space-alone and attributes-in-space distinctions. Four pairs of map-use tasks (light-during-the-day, dark-during-the-day, dark-at-night, and light-at-night) are examined from three aspects: effectiveness, efficiency, and cognitive load. The results provide preliminary evidence that the light-during-the-day performance is generally the best in most cases, followed by the dark-at-night performance; the dark-during-the-day performance is the worst in all cases, followed by the light-at-night performance, which suggests that aligning the map design with the environment (i.e., lighting environment) is critical for better communication. The light-during-the-day performance is the best for space-alone tasks, and the dark-at-night performance is the best for attributes-in-space tasks. Our investigation also indicates that dark maps are far less favored in practice, which suggests that users' preference for using the dark mode of public-facing web maps needs to be shaped. Since light and dark maps are associated with photopic and scotopic vision, respectively, the results indicate the need for future studies on how to leverage scotopic vision to design better dark maps. Numéro de notice : A2023-196 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.13038 Date de publication en ligne : 19/03/2023 En ligne : https://doi.org/10.1111/tgis.13038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103081 [article]