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Visual overlay on OpenStreetMap data to support spatial exploration of urban environments / Chandan Kumar in ISPRS International journal of geo-information, vol 4 n°1 (March 2015)  

Public [article]  inISPRS International journal of geo-information > vol 4 n°1 (March 2015) . - pp 87 - 104 Titre : Visual overlay on OpenStreetMap data to support spatial exploration of urban environments Type de document : Article/Communication Auteurs : Chandan Kumar, Auteur ; Wilko Heuten, Auteur ; Suzanne Boll, Auteur Année de publication : 2015 Article en page(s) : pp 87 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] aide à la décision [Termes IGN] convivialité [Termes IGN] croisement spatial [Termes IGN] données localisées des bénévoles [Termes IGN] entité géographique [Termes IGN] interface web [Termes IGN] milieu urbain [Termes IGN] OpenStreetMap [Termes IGN] requête spatiale [Termes IGN] visualisation de données Résumé : (auteur) Increasing volumes of spatial data about urban areas are captured and made available via volunteered geographic information (VGI) sources, such as OpenStreetMap (OSM). Hence, new opportunities arise for regional exploration that can lead to improvements in the lives of citizens through spatial decision support. We believe that the VGI data of the urban environment could be used to present a constructive overview of the regional infrastructure with the advent of web technologies. Current location-based services provide general map-based information for the end users with conventional local search functionality, and hence, the presentation of the rich urban information is limited. In this work, we analyze the OSM data to classify the geo entities into consequential categories with facilities, landscape and land use distribution. We employ a visual overlay of heat map and interactive visualizations to present the regional characterization on OSM data classification. In the proposed interface, users are allowed to express a variety of spatial queries to exemplify their geographic interests. They can compare the characterization of urban areas with respect to multiple spatial dimensions of interest and can search for the most suitable region. The search experience is further enhanced via efficient optimization and interaction methods to support the decision making of end users. We report the end user acceptability and efficiency of the proposed system via usability studies and performance analysis comparison. Numéro de notice : A2015-537 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4010087 En ligne : https://doi.org/10.3390/ijgi4010087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77893 [article]