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Position validation in crowdsourced accessibility mapping / Rebecca M. Rice in Cartographica, vol 51 n° 2 (Summer 2016)  

Public [article]  inCartographica > vol 51 n° 2 (Summer 2016) . - pp 55 - 66 Titre : Position validation in crowdsourced accessibility mapping Type de document : Article/Communication Auteurs : Rebecca M. Rice, Auteur ; Ahmad O. Aburizaiza, Auteur ; Matthew T. Rice, Auteur ; Han Qin, Auteur Année de publication : 2016 Article en page(s) : pp 55 - 66 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] accessibilité [Termes IGN] carte thématique [Termes IGN] cohérence des données [Termes IGN] données localisées des bénévoles [Termes IGN] géobalise [Termes IGN] handicap [Termes IGN] mesure de la qualité [Termes IGN] mise à jour [Termes IGN] personne non-voyante [Termes IGN] précision de localisation [Termes IGN] qualité des données [Termes IGN] validation des données Résumé : (Auteur) We live in a society in which instant gratification is expected: we demand constantly up-to-date information, which is reflected in our reliance on maps for navigation. Volunteered geographical information (VGI) and geocrowdsourcing make this demand attainable, with popular examples being Waze and OpenStreetMap, where maps are updated quickly by citizen contributors with current base data and features. At George Mason University (in Fairfax, Virginia), the Office of Disability Services releases a traditional paper accessibility map once annually. Owing to its production methods and format, this accessibility map does not capture the transient obstacles that occur frequently throughout campus, rendering it less useful to disabled pedestrians. To fix this dilemma and establish a more useful accessibility system, we have created an application in which contributors report transient obstacles that may impede pedestrian navigation, including sidewalk obstructions, construction detours, and other obstacles that may affect pathway walkability. One of the concerns associated with VGI and geocrowdsourced information is quality assurance, which is imperative when the usage scenarios (including blind, visually impaired, and mobility-impaired navigation) depend on positional accuracy. This study attempts to address the concerns related to the quality assurance of VGI, specifically quality assessment of the positional accuracy of the geocrowdsourced spatial data. We present our quality assessment techniques and novel methods for assessing the consistency of positional characteristics of geocrowdsourced spatial data related to accessibility. These methods rely on moderated positional assessments, geotags extracted from contributed images, and gazetteer-based geoparsing of location descriptions. Finally, we base our methods and approaches on research contributions and best practices from past and current efforts in accessibility mapping. Numéro de notice : A2016-479 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.51.2.3143 En ligne : http://dx.doi.org/10.3138/cart.51.2.3143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81493 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2016021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A geolinguistic approach for comprehending local influence in OpenStreetMap / Sterling Quinn in Cartographica, vol 51 n° 2 (Summer 2016)  

Public [article]  inCartographica > vol 51 n° 2 (Summer 2016) . - pp 67 - 83 Titre : A geolinguistic approach for comprehending local influence in OpenStreetMap Type de document : Article/Communication Auteurs : Sterling Quinn, Auteur Année de publication : 2016 Article en page(s) : pp 67 - 83 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] Amérique du sud [Termes IGN] anglais (langue) [Termes IGN] approche participative [Termes IGN] données localisées des bénévoles [Termes IGN] langue locale [Termes IGN] OpenStreetMap Résumé : (Auteur) OpenStreetMap (OSM) thrives on allowing anyone in the world to contribute features to a free online geographical database, thereby allowing international mixes of contributors to create the map in any given place. Using South America as a test area, I explore the geography of OSM contributors by applying automated language identification to the free-form comments that contributors make when saving their work. By cross-referencing these languages with users' self-reported hometowns from their profiles, I evaluate the effectiveness of language detection as a method for inferring the percentage of local contributors versus the percentage of “armchair mappers” from elsewhere. I show that most English-speaking contributors to the South American OSM are from outside the continent (rather than multilingual locals). The percentage of English use is higher in poor areas and rural areas, suggesting that residents of these places exercise less control over their map contents. Finally, I demonstrate that some features related to daily needs of health, education, and transportation are mapped with higher priority by contributors who speak the local language. These findings give researchers and organizations a deeper understanding of the OSM contributor base and potential shortcomings that might affect the data's fitness for use in any given place. Numéro de notice : A2016-480 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.51.2.3301 En ligne : http://dx.doi.org/10.3138/cart.51.2.3301 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81494 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2016021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Understanding spatial pattern cognition from tactile maps and graphics / Nicholas A. Perdue in Cartographica, vol 51 n° 2 (Summer 2016)  

Public [article]  inCartographica > vol 51 n° 2 (Summer 2016) . - pp 103 - 110 Titre : Understanding spatial pattern cognition from tactile maps and graphics Type de document : Article/Communication Auteurs : Nicholas A. Perdue, Auteur ; Amy K. Lobben, Auteur Année de publication : 2016 Article en page(s) : pp 103 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] accessibilité [Termes IGN] approche participative [Termes IGN] carte tactile [Termes IGN] cognition [Termes IGN] lecture de carte [Termes IGN] personne non-voyante Résumé : (Auteur) This article explores the cognitive dimensions of spatial pattern identification in people who are blind or low vision using tactile graphics. We contend that spatial pattern identification is critical to the construction of an informative and rich environmental image, and insight into these cognitive skills can inform current practices in tactile map production and accessible cartography. This research investigates individual spatial thinking skills hypothesized to be components of spatial pattern identification. The findings suggest that Cartesian proximity and object differentiation are vital cognitive skills of spatial pattern identification and could potentially be exploited to communicate complex environmental knowledge in tactile reference maps. The relationship between prior map-reading training and test performance indicates a critical need for an increased presence of tactile cartographies and highlights future research opportunities. Numéro de notice : A2016-481 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.51.2.3129 En ligne : http://dx.doi.org/10.3138/cart.51.2.3129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81495 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2016021	RAB	Revue	Centre de documentation	En réserve L003	Disponible