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Quality assessment and accessibility mapping in an image-based geocrowdsourcing testbed / Matthew T. Rice in Cartographica, vol 53 n° 1 (Spring 2018)  

Public [article]  inCartographica > vol 53 n° 1 (Spring 2018) . - pp 1 - 14 Titre : Quality assessment and accessibility mapping in an image-based geocrowdsourcing testbed Type de document : Article/Communication Auteurs : Matthew T. Rice, Auteur ; Dan Jacobson, Auteur ; Dieter Pfoser, Auteur ; Kevin M. Curtin, Auteur ; Han Qin, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 1 - 14 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] accessibilité [Termes IGN] données localisées des bénévoles [Termes IGN] handicap [Termes IGN] production participative [Termes IGN] qualité des données Résumé : (Auteur) Geocrowdsourcing is a significant new focus area in mapping for people with disabilities. It utilizes public data contributions that are difficult to capture with traditional mapping workflows. Along with the benefits of geocrowdsourcing are critical drawbacks, including reliability and accuracy. A geocrowdsourcing testbed has been designed to explore the dynamics of geocrowdsourcing and quality assessment and produce temporally relevant navigation obstacle data. These reports are then used for route planning, obstacle avoidance, and spatial awareness. Recently, the geocrowdsourcing testbed has been modified to focus on the contribution of images and short descriptions, rather than the more lengthy previous reporting process. The quality assessment workflow of the geocrowdsourcing testbed is contrasted with a modified quality assessment workflow, implemented in the simpler and quicker image-based reporting paradigm. General quality assessment of data position and temporal characteristics is still possible, while general data attributes and detail are now supplied by a moderator from the contributed image. The derivation of obstacle location from multiple intersected image direction vectors does not produce reliable results, but an approach using buffered convex hulls works dependably. This simpler, quicker geocrowdsourcing workflow produces geocrowdsourced obstacle data and quality assessment estimates for location, time, and attribute accuracy. Numéro de notice : A2018-206 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.1.2017-0013 Date de publication en ligne : 21/03/2018 En ligne : https://doi.org/10.3138/cart.53.1.2017-0013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89922 [article]

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031-2018011	SL	Revue	Centre de documentation	Revues en salle	Disponible

Systematic error reduction in geometric measurements based on altimetric enrichment of geographical features / Jean-François Girres in Cartographica, vol 53 n° 1 (Spring 2018)  

Public [article]  inCartographica > vol 53 n° 1 (Spring 2018) . - pp 52 - 61 Titre : Systematic error reduction in geometric measurements based on altimetric enrichment of geographical features Type de document : Article/Communication Auteurs : Jean-François Girres , Auteur Année de publication : 2018 Article en page(s) : pp 52 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] données localisées 2D [Termes IGN] données vectorielles [Termes IGN] erreur systématique [Termes IGN] mesure géométrique [Termes IGN] modèle numérique de surface [Termes IGN] objet géographique [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) In most GIS software, geometric measurements (length, area) computed from the geometry of vector objects are performed in two dimensions, which generates systematic underestimates. Several reasons can explain this critical situation: two of these include deficiencies in the geometric modelling of vector data and absence of correctly implemented methods for computing measurements using altitudes. To reduce the systematic error in geometric measurements caused by the omission of altitudes, methods are proposed to (1) enrich the geometry of geographical features using external altimetric data and (2) compute length and area using altitudes. These propositions are implemented in a model that allows any GIS user to take terrain into account in the computation of length and area and estimate the underestimation involved in two-dimensional measurements. Experiments are finally performed to illustrate the functioning of the model and test the impact of the quality of several altimetric data sources. Results demonstrate that freely available digital elevation models reduce measurement error. Based on comparisons with high-resolution databases, the results also show that omitting the terrain is not sufficient to assess the entire measurement error, which is also affected by other processes, such as digitizing error and cartographic projection. Numéro de notice : A2018-207 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.1.2017-0006 Date de publication en ligne : 21/03/2018 En ligne : https://doi.org/10.3138/cart.53.1.2017-0006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89923 [article]

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Coopting cops with maps : the rhetorical power of cartography in modern policing / William Heiden in Cartographica, vol 53 n° 1 (Spring 2018)  

Public [article]  inCartographica > vol 53 n° 1 (Spring 2018) . - pp 62 - 71 Titre : Coopting cops with maps : the rhetorical power of cartography in modern policing Type de document : Article/Communication Auteurs : William Heiden, Auteur Année de publication : 2018 Article en page(s) : pp 62 - 71 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cartographie thématique [Termes IGN] données localisées des bénévoles [Termes IGN] infraction [Termes IGN] production participative [Termes IGN] système d'information géographique [Vedettes matières IGN] Cartologie Résumé : (Auteur) In the 1990s, the New York City Police Department (NYPD) famously implemented a new strategy for reducing crime. Along with a “broken windows” orientation, police leadership used new management principles to analyze crime and direct police force activities, and geospatial software was central to these principles. The use of maps increases the credibility of an argument, but a critical examination of the historical development of policing tactics and the application of rhetorical concepts calls into question the validity of the NYPD's use of mapping in the context of crime reduction. A comparative analysis of the NYPD's CompStat efforts and a counter-mapping effort by theguardian.com illustrates the rhetorical power and the perils of maps. Numéro de notice : A2018-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.1.2017-0026 Date de publication en ligne : 21/03/2018 En ligne : https://doi.org/10.3138/cart.53.1.2017-0026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89924 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2018011	SL	Revue	Centre de documentation	Revues en salle	Disponible