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Semantic‐based urban growth prediction / Marvin Mc Cutchan in Transactions in GIS, Vol 24 n° 6 (December 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 6 (December 2020) . - 1482 - 1503 Titre : Semantic‐based urban growth prediction Type de document : Article/Communication Auteurs : Marvin Mc Cutchan, Auteur ; Simge Özdal‐Oktay, Auteur ; Ioannis Giannopoulos, Auteur Année de publication : 2020 Article en page(s) : 1482 - 1503 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] apprentissage profond [Termes IGN] croissance urbaine [Termes IGN] dynamique spatiale [Termes IGN] Europe (géographie politique) [Termes IGN] information sémantique [Termes IGN] modèle de simulation [Termes IGN] modélisation spatiale [Termes IGN] occupation du sol [Termes IGN] OpenStreetMap [Termes IGN] organisation spatiale [Termes IGN] OWL [Termes IGN] prévision [Termes IGN] réseau neuronal artificiel [Termes IGN] urbanisation [Termes IGN] ville durable Résumé : (Auteur) Urban growth is a spatial process which has a significant impact on the earth’s environment. Research on predicting this complex process makes it therefore especially fruitful for decision‐making on a global scale, as it enables the introduction of more sustainable urban development. This article presents a novel method of urban growth prediction. The method utilizes geospatial semantics in order to predict urban growth for a set of random areas in Europe. For this purpose, a feature space representing geospatial configurations was introduced which embeds semantic information. Data in this feature space was then used to perform deep learning, which ultimately enables the prediction of urban growth with high accuracy. The final results reveal that geospatial semantics hold great potential for spatial prediction tasks. Numéro de notice : A2020-766 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12655 Date de publication en ligne : 14/07/2020 En ligne : https://doi.org/10.1111/tgis.12655 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96657 [article]

Controllability matters : The user experience of adaptive maps / Peter Kiefer in Geoinformatica, vol 21 n° 3 (July - September 2017)  

Public [article]  inGeoinformatica > vol 21 n° 3 (July - September 2017) . - pp 619 - 641 Titre : Controllability matters : The user experience of adaptive maps Type de document : Article/Communication Auteurs : Peter Kiefer, Auteur ; Ioannis Giannopoulos, Auteur ; Vasileios Athanasios Anagnostopoulos, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 619 - 641 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cartologie [Termes IGN] interface graphique [Termes IGN] lecture de carte [Termes IGN] utilisateur civil [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Adaptive map interfaces have the potential of increasing usability by providing more task dependent and personalized support. It is unclear, however, how map adaptation must be designed to avoid a loss of control, transparency, and predictability. This article investigates the user experience of adaptive map interfaces in the context of gaze-based activity recognition. In a Wizard of Oz experiment we study two adaptive map interfaces differing in the degree of controllability and compare them to a non-adaptive map interface. Adaptive interfaces were found to cause higher user experience and lower perceived cognitive workload than the non-adaptive interface. Among the adaptive interfaces, users clearly preferred the condition with higher controllability. Results from structured interviews reveal that participants dislike being interrupted in their spatial cognitive processes by a sudden adaptation of the map content. Our results suggest that adaptive map interfaces should provide their users with control at what time an adaptation will be performed. Numéro de notice : A2017-384 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0282-x En ligne : https://doi.org/10.1007/s10707-016-0282-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85817 [article]

Where am I? Investigating map matching during self-localization with mobile eye tracking in an urban environment / Peter Kiefer in Transactions in GIS, vol 18 n° 5 (October 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 5 (October 2014) . - pp 660 – 686 Titre : Where am I? Investigating map matching during self-localization with mobile eye tracking in an urban environment Type de document : Article/Communication Auteurs : Peter Kiefer, Auteur ; Ioannis Giannopoulos, Auteur ; Martin Raubal, Auteur Année de publication : 2014 Article en page(s) : pp 660 – 686 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] géolocalisation [Termes IGN] géopositionnement [Termes IGN] sémiologie graphique [Termes IGN] signe conventionnel Résumé : (Auteur) Self-localization is the process of identifying one's current position on a map, and it is a crucial part of any wayfinding process. During self-localization the wayfinder matches visually perceptible features of the environment, such as landmarks, with map symbols to constrain potential locations on the map. The success of this visual matching process constitutes an important factor for the success of self-localization. In this research we aim at observing the visual matching process between environment and map during self-localization with real-world mobile eye tracking. We report on one orientation and one self-localization experiment, both in an outdoor urban environment. The gaze data collected during the experiments show that successful participants put significantly more visual attention to those symbols on the map that were helpful in the given situation than unsuccessful participants. A sequence analysis revealed that they also had significantly more switches of visual attention between map symbols and their corresponding landmarks in the environment, which suggests they were following a more effective self-localization strategy. Numéro de notice : A2014-509 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12067 Date de publication en ligne : 27/10/2013 En ligne : https://doi.org/10.1111/tgis.12067 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74108 [article]