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Exploring mass variations in the Earth system / Mike Sips in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 3 - 15 Titre : Exploring mass variations in the Earth system Type de document : Article/Communication Auteurs : Mike Sips, Auteur ; Andrea Unger, Auteur ; Tobias Rawald, Auteur ; Ingo Sagsen, Auteur Année de publication : 2016 Article en page(s) : pp 3 - 15 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] analyse visuelle [Termes IGN] champ de pesanteur terrestre [Termes IGN] données GRACE [Termes IGN] exploration de données [Termes IGN] géophysique interne [Termes IGN] masse de la Terre Résumé : (Auteur) Geophysical processes cause a redistribution of masses within system Earth called mass transport. This mass transport induces variations in the observed gravity field of the Earth. A common scientific approach to draw conclusions about geophysical processes is to determine the imprint of individual geophysical processes in observed gravity field variations. For this purpose, modelers follow a sequence of specialized steps. From this sequence, we identified in close collaboration with Earth system modelers at the German Research Center for GeoSciences (GFZ) steps that can significantly benefit from Visual Analytics: (a) finding an applicable release of observed gravity field variations that exhibit the geophysical process of interest (b) separating individual geophysical processes in observed gravity field variations and (c) confirming the reduction of observed gravity field variations to the geophysical process of interest. We identified important analytical requirements for our Visual Analytics approach based on a user- and task-centered design. By providing tailored support for the identified requirements, our Visual Analytics approach provides a valuable expansion of the modeler’s toolbox. Numéro de notice : A2016-109 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/15230406.2015.1031702 En ligne : https://doi.org/10.1080/15230406.2015.1031702 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79927 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2016011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Personal mobility pattern mining and anomaly detection in the GPS era / Dong-He Shih in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 55 - 67 Titre : Personal mobility pattern mining and anomaly detection in the GPS era Type de document : Article/Communication Auteurs : Dong-He Shih, Auteur ; Ming-Hung Shih, Auteur ; David C. Yen, Auteur ; Jai-Hung Hsu, Auteur Année de publication : 2016 Article en page(s) : pp 55 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] comportement [Termes IGN] détection d'anomalie [Termes IGN] détection de piéton [Termes IGN] exploration de données géographiques [Termes IGN] mobilité urbaine [Termes IGN] positionnement par GPS [Termes IGN] santé [Termes IGN] surveillance Résumé : (Auteur) Suffering from Alzheimer’s disease has become one of the critical health issues today. If an abnormal time–space pattern of such patients can be detected earlier, it will help the families to prevent some dangerous situations in advance. We have proposed a method in this study to uncover personal mobility patterns and detect abnormal behavior patterns from mobility data obtained with global position system (GPS). Experimental results showed that our proposed method is far better than other alternatives available. This proposed approach may thus render great assistance in identifying abnormal behavior, thus providing critical remedy actions in advance in this GPS era. Numéro de notice : A2016-110 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/15230406.2015.1010585 En ligne : https://doi.org/10.1080/15230406.2015.1010585 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79929 [article]

Exemplaires(1)

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032-2016011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas / Yin-Hsuen Chen in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 68 - 85 Titre : A comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas Type de document : Article/Communication Auteurs : Yin-Hsuen Chen, Auteur ; Stephanie E. Zick, Auteur ; Adam R. Benjamin, Auteur Année de publication : 2016 Article en page(s) : pp 68 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données lidar [Termes IGN] lecture de carte [Termes IGN] méthodologie [Termes IGN] modèle numérique de surface [Termes IGN] outil d'aide à la décision [Termes IGN] risque naturel [Termes IGN] style cartographique [Termes IGN] système d'information géographique [Termes IGN] tempête [Termes IGN] vitesse [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Hurricane evacuation maps raise awareness of the risks associated with potential inundation from storm surge and provide evacuation route information to residents leaving their residences for safety. To create the most effective hurricane evacuation map for communicating risk to the public, cartographic best practices must be integrated into the evacuation map visualization. This study addresses a current gap in the scientific literature by integrating cartographic best practices for color choice, symbol choice, and positive messaging, together with a complete GIS-based workflow utilizing LiDAR-derived digital elevation models, Sea, Lake and Overland Surges from Hurricanes (SLOSH) storm surge products, and vector shapefiles for creating hurricane evacuation maps. To evaluate the methodology, the primary study site was Galveston County, Texas, during Hurricane Ike in September 2008. The typical workflow for county and municipal emergency managers is to create pre-hurricane season generalized evacuation maps. This study shows that the probabilistic storm surge SLOSH forecasts can be seamlessly implemented in the 72–48 hours prior to a storm surge event to provide specialized evacuation maps that incorporate hurricane-specific parameters and more accurately show risk to residents. To verify the Hurricane Ike workflow, a secondary study site in Harrison County, Mississippi, was used to evaluate Hurricane Isaac in August 2012. This study provides a comprehensive cartographic methodology for evacuation zone mapping when the US coastline is threatened by a landfalling hurricane. Numéro de notice : A2016-111 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1014426 En ligne : https://doi.org/10.1080/15230406.2015.1014426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79930 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2016011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Enabling geovisual analytics of health data using a server-side approach / Ulanbek Turdukulov in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 16 - 29 Titre : Enabling geovisual analytics of health data using a server-side approach Type de document : Article/Communication Auteurs : Ulanbek Turdukulov, Auteur ; Simon Moncrieff, Auteur Année de publication : 2016 Article en page(s) : pp 16 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse de données [Termes IGN] analyse multivariée [Termes IGN] géomatique web [Termes IGN] géovisualisation [Termes IGN] interface utilisateur [Termes IGN] santé [Termes IGN] serveur web [Termes IGN] style graphique Résumé : (auteur) Geovisual analytics can enable a user to explore multivariate spatio-temporal health datasets and to understand spatial distribution of diseases especially in relation to external factors that may influence outbreaks. External data are presently distributed using geo web services. Web services are used in health mainly to present results leading to a supplier-driven service model limiting the exploration of health data. In this paper, we illustrate server-side approach of designing a geovisual analytics environment that allows user-driven geovisual analytics. The server-side combines a data query, processing technique, and styling methodology to rapidly visually summarize properties of a dataset. We illustrate this functionality on a typical workflow used by a health researcher and demonstrate analytical functionality in cases where a consistent classification and styling scheme is needed across dynamically aggregated multivariate spatio-temporal datasets. Since the framework builds on the existing Open Geospatial Consortium web mapping standards, it integrates the existing geo web services as well as stand-alone health data repositories into an infrastructure that allows combination and interactive exploration of these heterogeneous datasets in a visual environment. Numéro de notice : A2016-140 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1065762 En ligne : https://doi.org/10.1080/15230406.2015.1065762 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80322 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2016011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Geovisual analytics and the science of interaction: an empirical interaction study / Robert Emmett Roth in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)  

Public [article]  inCartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 30 - 54 Titre : Geovisual analytics and the science of interaction: an empirical interaction study Type de document : Article/Communication Auteurs : Robert Emmett Roth, Auteur ; Alan M. MacEachren, Auteur Année de publication : 2016 Article en page(s) : pp 30 - 54 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] interactivité [Termes IGN] interface graphique [Termes IGN] interface utilisateur [Termes IGN] stratégie [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Among the most pressing research and development challenges facing geovisual analytics is the establishment of a science of interaction to inform the design of visual interfaces to computational methods. The most promising work on interaction to date has attempted to identify and articulate the fundamental interaction primitives that define the complete design space for the user experience. In this paper, we take the logical next step beyond this prior research, reporting on a controlled interaction study to learn how variation in interaction primitive combinations impacts broader interaction strategies (i.e., to learn how interaction primitives relate for both design and use). GeoVISTA CrimeViz – a geovisual analytics application developed in partnership with the Harrisburg (Pennsylvania, USA) Bureau of Police – was leveraged as a living laboratory for examining the nature of interaction strategies as they are built from interaction primitives. Ten law enforcement officers with the Harrisburg Bureau of Police completed a set of 15 benchmark tasks based on a three-stage interaction primitive taxonomy while their interactions were logged. Experimental results revealed several noteworthy characteristics of the relationship between interaction primitives and interaction strategies, including an increased reliance on the interface as the objective increases in sophistication and the effectiveness of, although at times over-reliance upon, Shneiderman’s visual information-seeking mantra as an analytical strategy. Further, consistently successful and suboptimal interaction strategies were characterized in terms of their constituent interaction primitives and articulated as user personas, allowing for the establishment of interface design and use recommendations for circumventing negative personas. Numéro de notice : A2016-141 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1095006 En ligne : https://doi.org/10.1080/15230406.2016.1095006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80323 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2016011	RAB	Revue	Centre de documentation	En réserve L003	Disponible