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Integrating geo web services for a user driven exploratory analysis / Simon Moncrieff in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 114 (April 2016) . - pp 294–305 Titre : Integrating geo web services for a user driven exploratory analysis Type de document : Article/Communication Auteurs : Simon Moncrieff, Auteur ; Ulanbek Turdukulov, Auteur ; Elizabeth-Kate Gulland, Auteur Année de publication : 2016 Article en page(s) : pp 294–305 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données démographiques [Termes IGN] exploration de données géographiques [Termes IGN] géovisualisation [Termes IGN] intégration de données [Termes IGN] santé [Termes IGN] service web [Termes IGN] traitement de données Résumé : (auteur) In data exploration, several online data sources may need to be dynamically aggregated or summarised over spatial region, time interval, or set of attributes. With respect to thematic data, web services are mainly used to present results leading to a supplier driven service model limiting the exploration of the data. In this paper we propose a user need driven service model based on geo web processing services. The aim of the framework is to provide a method for the scalable and interactive access to various geographic data sources on the web. The architecture combines a data query, processing technique and visualisation methodology to rapidly integrate and visually summarise properties of a dataset. We illustrate the environment on a health related use case that derives Age Standardised Rate – a dynamic index that needs integration of the existing interoperable web services of demographic data in conjunction with standalone non-spatial secure database servers used in health research. Although the example is specific to the health field, the architecture and the proposed approach are relevant and applicable to other fields that require integration and visualisation of geo datasets from various web services and thus, we believe is generic in its approach. Numéro de notice : A2016-539 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.01.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81683 [article]

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]

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Development of an open-source toolbox for the analysis and visualization of remotely sensed time series / C. Block in Cartographica, vol 46 n° 4 (December 2011)  

Public [article]  inCartographica > vol 46 n° 4 (December 2011) . - pp 227 - 238 Titre : Development of an open-source toolbox for the analysis and visualization of remotely sensed time series Type de document : Article/Communication Auteurs : C. Block, Auteur ; Ulanbek Turdukulov, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 227 - 238 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] fonctionnalité [Termes IGN] image satellite [Termes IGN] logiciel de visualisation [Termes IGN] logiciel libre [Termes IGN] série temporelle Résumé : (Auteur) The GEONETCast data-dissemination system delivers free multi-source raw satellite images and processed products to users worldwide; from these data, users can construct long time series to study dynamic phenomena. To explore these dynamics, using an animation with few controls is common practice. But animations easily produce information overload leading to change blindness, a problem that can be addressed in various ways. We present a combination of analytical and visual functionalities to better support visual exploration of animated time series. Analytical pre-processing functions include slicing and tracking of objects of interest. Results of the slicing and the tracking are input to the visualization environment, which is further enriched by tools to make various time, attribute, and area selections and by options to visually enhance selections relative to their surroundings, visualize the path of moving objects, and multiple layers. The resulting toolbox is dedicated to visual exploration and analysis of dynamic phenomena in time series. A case study demonstrates, with a use scenario, how it works. Early exposure of some visualization functions to users has already led to improvements, but more extensive testing will follow after further enrichment of the toolbox. Directions of future research are described. Numéro de notice : A2011-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.46.4.227 En ligne : https://doi.org/10.3138/carto.46.4.227 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31378 [article]

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