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Termes IGN > cartographie > cartologie
cartologie
Commentaire :
Étude théorique des cartes, qui s'intéresse notamment aux problèmes de lecture de cartes (du point de vue des usagers lambdas ou différents : handicapés, ...), à la communication cartographique ou au message cartographique (du point de vue du producteur de cartes)
Synonyme(s)théorie cartographiqueVoir aussi |
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Detecting individuals' spatial familiarity with urban environments using eye movement data / Hua Liao in Computers, Environment and Urban Systems, vol 93 (April 2022)
[article]
Titre : Detecting individuals' spatial familiarity with urban environments using eye movement data Type de document : Article/Communication Auteurs : Hua Liao, Auteur ; Wendi Zhao, Auteur ; Changbo Zhang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 101758 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] navigation pédestre
[Termes IGN] oculométrie
[Termes IGN] service fondé sur la position
[Termes IGN] zone urbaine
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) The spatial familiarity of environments is an important high-level user context for location-based services (LBS). Knowing users' familiarity level of environments is helpful for enabling context-aware LBS that can automatically adapt information services according to users' familiarity with the environment. Unlike state-of-the-art studies that used questionnaires, sketch maps, mobile phone positioning (GPS) data, and social media data to measure spatial familiarity, this study explored the potential of a new type of sensory data - eye movement data - to infer users' spatial familiarity of environments using a machine learning approach. We collected 38 participants' eye movement data when they were performing map-based navigation tasks in familiar and unfamiliar urban environments. We trained and cross-validated a random forest classifier to infer whether the users were familiar or unfamiliar with the environments (i.e., binary classification). By combining basic statistical features and fixation semantic features, we achieved a best accuracy of 81% in a 10-fold classification and 70% in the leave-one-task-out (LOTO) classification. We found that the pupil diameter, fixation dispersion, saccade duration, fixation count and duration on the map were the most important features for detecting users' spatial familiarity. Our results indicate that detecting users' spatial familiarity from eye tracking data is feasible in map-based navigation and only a few seconds (e.g., 5 s) of eye movement data is sufficient for such detection. These results could be used to develop context-aware LBS that adapt their services to users' familiarity with the environments. Numéro de notice : A2022-121 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2022.101758 Date de publication en ligne : 21/01/2022 En ligne : https://doi.org/10.1016/j.compenvurbsys.2022.101758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99663
in Computers, Environment and Urban Systems > vol 93 (April 2022) . - n° 101758[article]Sculpting, cutting, expanding, and contracting the map / Nick Lally in Cartographica, Vol 57 n° 1 (Spring 2022)
[article]
Titre : Sculpting, cutting, expanding, and contracting the map Type de document : Article/Communication Auteurs : Nick Lally, Auteur Année de publication : 2022 Article en page(s) : pp 1 - 10 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] communication cartographique
[Termes IGN] interface web
[Termes IGN] interopérabilité
[Termes IGN] lecture de carte
[Termes IGN] QGIS
[Termes IGN] révision cartographique
[Termes IGN] système d'information géographiqueRésumé : (auteur) "Shaping" is a Web-based tool that enables direct manipulations of cartographic space to sculpt, cut, expand, and contract map regions. Breaking with rigid Euclidean understandings of projected space found in GIS, these operations support creative cartographic work that understands space as fluid, dynamic, relational, and situated. Each operation is described in detail, along with possible use cases informed by literature in geography and cartography. Most manipulations of space found in shaping can be translated into QGIS, enabling the transformation of vector and raster layers of geographic information. By enabling direct and real-time manipulation of cartographic space, shaping acts as an expressive tool that engages with geographic information. It is also an example of how accessible tools can be built that are interoperable with existing GIS while still being useful on their own. Numéro de notice : A2022-247 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0013 Date de publication en ligne : 15/03/2022 En ligne : https://doi.org/10.3138/cart-2021-0013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100194
in Cartographica > Vol 57 n° 1 (Spring 2022) . - pp 1 - 10[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2022011 RAB Revue Centre de documentation En réserve L003 Disponible The re-invention of the Goori cultural landscape: Telling the country: Mapping two pockets / Paul Memmott in Cartographica, Vol 57 n° 1 (Spring 2022)
[article]
Titre : The re-invention of the Goori cultural landscape: Telling the country: Mapping two pockets Type de document : Article/Communication Auteurs : Paul Memmott, Auteur ; Ray Kerkhove, Auteur ; Alex Bond, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 65-79 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Brisbane (Australie)
[Termes IGN] communication cartographique
[Termes IGN] corpus
[Termes IGN] culture
[Termes IGN] droit foncier
[Termes IGN] ethnologie
[Termes IGN] ontologie
[Termes IGN] patrimoine culturel
[Termes IGN] période coloniale
[Termes IGN] Queensland (Australie)
[Vedettes matières IGN] CartologieRésumé : (auteur) This article analyzes the authors’ map of the Aboriginal geography of St Lucia and Long Pocket, two riverine suburbs of Brisbane, upstream of the central business district, and containing two of the University of Queensland’s campuses. The map is a prism into the wider “Goori” Aboriginal society of the early 1800s. The map was generated by two Aboriginal scholars and an anthropologist using a practice-based ontological approach and by historians using early textual sources. The map juxtaposes a geopolitical edge against contemporary metropolitan mapping, providing a foundation of First Nations geography to underlie and undermine the power of colonial and postcolonial cartography. Numéro de notice : A2022-246 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0022 Date de publication en ligne : 15/03/2022 En ligne : https://doi.org/10.3138/cart-2021-0022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100189
in Cartographica > Vol 57 n° 1 (Spring 2022) . - pp 65-79[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2022011 RAB Revue Centre de documentation En réserve L003 Disponible Visual vs internal attention mechanisms in deep neural networks for image classification and object detection / Abraham Montoya Obeso in Pattern recognition, vol 123 (March 2022)
[article]
Titre : Visual vs internal attention mechanisms in deep neural networks for image classification and object detection Type de document : Article/Communication Auteurs : Abraham Montoya Obeso, Auteur ; Jenny Benois-Pineau, Auteur ; Mireya S. García Vázquez, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 108411 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse visuelle
[Termes IGN] apprentissage profond
[Termes IGN] attention (apprentissage automatique)
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] détection d'objet
[Termes IGN] données d'entrainement (apprentissage automatique)
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] oculométrie
[Termes IGN] saillance
[Termes IGN] segmentation sémantique
[Termes IGN] visualisation de donnéesRésumé : (auteur) The so-called “attention mechanisms” in Deep Neural Networks (DNNs) denote an automatic adaptation of DNNs to capture representative features given a specific classification task and related data. Such attention mechanisms perform both globally by reinforcing feature channels and locally by stressing features in each feature map. Channel and feature importance are learnt in the global end-to-end DNNs training process. In this paper, we present a study and propose a method with a different approach, adding supplementary visual data next to training images. We use human visual attention maps obtained independently with psycho-visual experiments, both in task-driven or in free viewing conditions, or powerful models for prediction of visual attention maps. We add visual attention maps as new data alongside images, thus introducing human visual attention into the DNNs training and compare it with both global and local automatic attention mechanisms. Experimental results show that known attention mechanisms in DNNs work pretty much as human visual attention, but still the proposed approach allows a faster convergence and better performance in image classification tasks. Numéro de notice : A2022-197 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.patcog.2021.108411 Date de publication en ligne : 12/11/2021 En ligne : https://doi.org/10.1016/j.patcog.2021.108411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99988
in Pattern recognition > vol 123 (March 2022) . - n° 108411[article]Identifying map users with eye movement data from map-based spatial tasks: user privacy concerns / Hua Liao in Cartography and Geographic Information Science, vol 49 n° 1 (January 2022)
[article]
Titre : Identifying map users with eye movement data from map-based spatial tasks: user privacy concerns Type de document : Article/Communication Auteurs : Hua Liao, Auteur ; Weihua Dong, Auteur ; Zhicheng Zhan, Auteur Année de publication : 2022 Article en page(s) : pp 50 - 69 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] comportement
[Termes IGN] confidentialité
[Termes IGN] identité
[Termes IGN] lecture de carte
[Termes IGN] oculométrie
[Termes IGN] orientation
[Termes IGN] partage de données localisées
[Termes IGN] protection de la vie privée
[Termes IGN] utilisateur
[Termes IGN] visualisation cartographique
[Vedettes matières IGN] CartologieRésumé : (auteur) Individuals with different characteristics exhibit different eye movement patterns in map reading and wayfinding tasks. In this study, we aim to explore whether and to what extent map users’ eye movements can be used to detect who created them. Specifically, we focus on the use of gaze data for inferring users’ identities when users are performing map-based spatial tasks. We collected 32 participants’ eye movement data as they utilized maps to complete a series of self-localization and spatial orientation tasks. We extracted five sets of eye movement features and trained a random forest classifier. We used a leave-one-task-out approach to cross-validate the classifier and achieved the best identification rate of 89%, with a 2.7% equal error rate. This result is among the best performances reported in eye movement user identification studies. We evaluated the feature importance and found that basic statistical features (e.g. pupil size, saccade latency and fixation dispersion) yielded better performance than other feature sets (e.g. spatial fixation densities, saccade directions and saccade encodings). The results open the potential to develop personalized and adaptive gaze-based map interactions but also raise concerns about user privacy protection in data sharing and gaze-based geoapplications. Numéro de notice : A2022-018 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2021.1980435 Date de publication en ligne : 06/10/2021 En ligne : https://doi.org/10.1080/15230406.2021.1980435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99161
in Cartography and Geographic Information Science > vol 49 n° 1 (January 2022) . - pp 50 - 69[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2022011 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkEvaluating narrative in geoportals for territorial public policies / Luis Manuel Batista in Cartographica, vol 56 n° 4 (Winter 2021)PermalinkExplorer par la carte l’espace pendant le confinement: Une expérimentation de cartographie sensible / Laurence Jolivet in Revue des Politiques Sociales et Familiales, n° 141 ([01/12/2021])PermalinkInteractive maps for the production of knowledge and the promotion of participation from the perspective of communication, journalism, and digital humanities / Pedro Molina Rodríguez-Navas in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)PermalinkSpatial thinking in cartography teaching for schoolchildren / Sonia Maria Vanzella Castellar in International journal of cartography, vol 7 n° 3 (October 2021)PermalinkDeveloping reliably distinguishable color schemes for legends of natural resource taxonomy-based maps / Virgil Vlad in Cartography and Geographic Information Science, Vol 48 n° 5 (September 2021)PermalinkEvaluating the potential of cybercartography in facilitating indigenous self-determination: A case study with the Hupačasath first nation / Dexter Robson in Cartographica, vol 56 n° 3 (Fall 2021)PermalinkSearching for an optimal hexagonal shaped enumeration unit size for effective spatial pattern recognition in choropleth maps / Izabela Karsznia in ISPRS International journal of geo-information, vol 10 n° 9 (September 2021)PermalinkEye tracking research in cartography: Looking into the future / Vassilios Krassanakis in ISPRS International journal of geo-information, vol 10 n° 6 (June 2021)PermalinkEmotional cartography as a window into children's well-being: Visualizing the felt geographies of place / Andrew Steger in Emotion, Space and Society, vol 39 (May 2021)Permalink