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An ontology-driven multi-agent system for nautical chart generalization / Jingya Yan in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 201 - 215 Titre : An ontology-driven multi-agent system for nautical chart generalization Type de document : Article/Communication Auteurs : Jingya Yan, Auteur ; Eric Guilbert, Auteur ; Eric Saux, Auteur Année de publication : 2017 Article en page(s) : pp 201 - 215 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte marine [Termes IGN] généralisation cartographique [Termes IGN] ontologie [Termes IGN] processus cartographique [Termes IGN] système multi-agents [Vedettes matières IGN] Généralisation Résumé : (auteur) On nautical charts, undersea features are portrayed by sets of soundings (depth points) and isobaths (depth contours) from which map readers can interpret undersea features. Different techniques were developed for automatic sounding selection and isobath generalization. These methods are mainly used to generate a new chart from the bathymetric database or from a larger scale chart through selection and simplification. However, a part of the process consists in selecting and emphasizing undersea features formed by groups of soundings and isobaths on the chart according to their relevance to maritime navigation. Hence, automation of the process requires classification of features and their generalization through the application of a set of operators according not only to geometric constraints but also to their meaning. The objective of this work is to conceive a multi-agent system (MAS) for nautical chart generalization that is driven by the knowledge on the generalization process and the undersea features and their relationships. First, this work provides a feature-centered ontology modeling of the generalization process. Then, the MAS structure is introduced where agents access cartographic knowledge stored in the ontology. The MAS makes use of measure algorithms to evaluate constraint violations on the chart in order to decide which generalization operators to apply. The whole model has been implemented to provide generalization plans on a real case study. Numéro de notice : A2017-207 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1129648 En ligne : http://dx.doi.org/10.1080/15230406.2015.1129648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85042 [article]

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Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data / Anthony C. Robinson in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 216 - 228 Titre : Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Donna J. Peuquet, Auteur ; Scott Pezanowski, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 216 - 228 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale [Termes IGN] dimension temporelle [Termes IGN] données issues des réseaux sociaux [Termes IGN] évaluation [Termes IGN] exploration de données [Termes IGN] géolocalisation [Termes IGN] géovisualisation [Termes IGN] Syrie [Vedettes matières IGN] Géovisualisation Résumé : (auteur) It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds and social media streams. Here we present a geovisualization tool that can leverage computational methods, such as T-pattern analysis, for extracting patterns of interest from event data streams. Our system, STempo, includes coordinated-view geovisualization components designed to support visual exploration and analysis of event data, and patterns extracted from those data, in terms of time, geography, and content. Through a user evaluation, we explore the usability and utility of STempo for understanding patterns of recent political, social, economic, and military events in Syria. Numéro de notice : A2017-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1139467 En ligne : http://dx.doi.org/10.1080/15230406.2016.1139467 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85043 [article]

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The effect of spatial distance on the discriminability of colors in maps / Alžběta Brychtová in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 229 - 245 Titre : The effect of spatial distance on the discriminability of colors in maps Type de document : Article/Communication Auteurs : Alžběta Brychtová, Auteur ; Arzu Çöltekin, Auteur Année de publication : 2017 Article en page(s) : pp 229 - 245 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] couleur (rédaction cartographique) [Termes IGN] lecture de carte [Termes IGN] lisibilité perceptive [Termes IGN] symbole graphique [Termes IGN] teinte Résumé : (auteur) The spatial distance (gap) between map symbols can have a great impact on their discriminability, however, there is little empirical evidence to establish spatial and attribute thresholds. In this paper, we examine the effect of the spatial gap in discriminability of color hue and value, that is, we conducted an online study to obtain performance metrics; then an eye-tracking study to understand participants’ strategies and cognitive processes. Participants completed two experimental tasks (compare two areas and decide if their color is the same; and compare three areas and rank them from the lightest to the darkest). The color distances and the spatial distances were strictly controlled for the compared areas. Our analyses confirmed that, overall, increasing the gap between colors has a consistent negative impact on the ability to differentiate them with both sequential and qualitative schemes. Furthermore, we observed that sequential schemes require larger color distances than qualitative schemes for discriminability. Finally, our results suggested that for qualitative colors, the largest tested color distance ∆E00 = 10 yields considerably higher levels of accuracy in color discrimination (even when the spatial gap between the two colors is large), thus we recommend ∆E00 = 10 to practicing cartographers and other information visualization designers. Numéro de notice : A2017-209 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1140074 En ligne : http://dx.doi.org/10.1080/15230406.2016.1140074 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85046 [article]

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Augmented reality as a digital teaching environment to develop spatial thinking / Carlos Carbonell-Carrera in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 259 - 270 Titre : Augmented reality as a digital teaching environment to develop spatial thinking Type de document : Article/Communication Auteurs : Carlos Carbonell-Carrera, Auteur ; Luis Alberto Bermejo Asensio, Auteur Année de publication : 2017 Article en page(s) : pp 259 - 270 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle [Termes IGN] compétence [Termes IGN] formation [Termes IGN] géovisualisation [Termes IGN] modèle numérique [Termes IGN] réalité augmentée [Termes IGN] représentation du relief [Termes IGN] représentation mentale spatiale [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Digital three-dimensional (3D) cartography environments provide new ways of landscape visualization and topographic interpretation: digital terrain modeling (DTM) is added to the traditional cartographic technique, where relief interpretation skill is needed to interpret 3D topographic information from 2D representations. The emergence of augmented reality (AR) technology for DTM representation offers a new way to develop map-reading skills. It is in the representation of the landforms (hills, dunes, depths, valleys, mountains, shapes, slopes, and elevations) where the AR allows a new way to interact with the landscape representation. Once AR technology is combined with tablet computers, the manipulation of DTM can be done by finger gestures. This paper analyzes the potential of AR as an innovative teaching tool to improve relief interpretation skill based on the results of a workshop with 73 engineering students from La Laguna University, Spain. Participants performed exercises with 2D traditional techniques of relief representation and with AR. To compare the effect with and without AR, another group of 22 students conducted the workshop with only 2D relief representations. The gain was significantly better with the AR group; students who did not use AR had also a significantly better result, but their scores were still lower. Numéro de notice : A2017-210 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1145556 En ligne : http://dx.doi.org/10.1080/15230406.2016.1145556 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85048 [article]

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032-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible