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Method for the analysis and visualization of similar flow hotspot patterns between different regional groups / Haiping Zhang in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 8 (August 2018) Titre : Method for the analysis and visualization of similar flow hotspot patterns between different regional groups Type de document : Article/Communication Auteurs : Haiping Zhang, Auteur ; Xingxing Zhou, Auteur ; Xin Gu, Auteur ; Lei Zhou, Auteur ; Genlin Ji, Auteur ; Guoan Tang, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] données de flux [Termes IGN] interaction spatiale [Termes IGN] système d'information géographique [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Interaction among different regions can be illustrated in the form of a stream. For example, the interaction between the flows of people and information among different regions can reflect city network structures, as well as city functions and interconnections. The popularization of big data has facilitated the acquisition of flow data for various types of individuals. The application of the regional interaction model, which is based on the summary level of individual flow data mining, is currently a hot research topic. Thus far, however, previous research on spatial interaction methods has mainly focused on point-to-point and area-to-area interaction patterns, and investigations on the patterns of interaction hotspots between two regional groups with predefined neighborhood relationships, that being with two regions, remain scarce. In this study, a method for the identification of similar interaction hotspot patterns between two regional groups is proposed, and geo-information Tupu methods are applied to visualize interaction patterns. China’s air traffic flow data are used as an example to illustrate the performance of the proposed method to identify and analyze interaction hotspot patterns between regional groups with adjoining relationships across China. Research results indicate that the proposed method efficiently identifies the patterns of interaction flow hotspots between regional groups. Moreover, it can be applied to analyze any flow space in the excavation of the patterns of regional group interaction hotspots. Numéro de notice : A2018-350 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7080328 Date de publication en ligne : 15/08/2018 En ligne : https://doi.org/10.10.3390/ijgi7080328 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90585 [article]

Task-oriented visualization approaches for landscape and urban change analysis / Jochen Schiewe in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 8 (August 2018) Titre : Task-oriented visualization approaches for landscape and urban change analysis Type de document : Article/Communication Auteurs : Jochen Schiewe, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique [Termes IGN] carte choroplèthe [Termes IGN] classification [Termes IGN] visualisation cartographique [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Approaches to landscape and urban change analysis are still far away from being fully automatic or operational. For this reason, the concept of Geovisual Analytics is proposed, combining computational and visual/manual processing steps. This contribution concentrates on the latter part with the overall goal of improving its usability. For this purpose, a classification of tasks is created, which often occur in the context of change analysis. This serves as the basis for the assignment of suitable map types to change processing results. Beyond this, it is pointed out that in many cases an appropriate pre-processing of data is imperative to preserve or enhance certain spatial relationships or characteristics for visualization. This is demonstrated using the example of data classification prior to choropleth mapping. Methods are described which allow the preservation of local extreme values, large value differences between adjacent polygons, clusters, and hot/cold spots. Finally, discussing future research and developments, it will be stressed that the importance of visual methods in the context of big data change analysis will continue to increase, which is due to the particular ability of maps to generalize and reduce complex data to a minimum. Numéro de notice : A2018-352 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7080288 Date de publication en ligne : 24/07/2018 En ligne : https://doi.org/10.3390/ijgi7080288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90586 [article]

Processing BIM and GIS models in practice: Experiences and recommendations from a geoBIM project in The Netherlands / Ken Arroyo Ohori in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 8 (August 2018) Titre : Processing BIM and GIS models in practice: Experiences and recommendations from a geoBIM project in The Netherlands Type de document : Article/Communication Auteurs : Ken Arroyo Ohori, Auteur ; Abdoulaye A. Diakité, Auteur ; Thomas Krijnen, Auteur ; Hugo Ledoux, Auteur ; Jantien E. Stoter, Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] CityGML [Termes IGN] format Industry foudation classes IFC [Termes IGN] intégration de données [Termes IGN] interopérabilité [Termes IGN] modèle géométrique [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] Pays-Bas [Termes IGN] système d'information géographique Résumé : (auteur) It is widely acknowledged that the integration of BIM and GIS data is a crucial step forward for future 3D city modelling, but most of the research conducted so far has covered only the high-level and semantic aspects of GIS-BIM integration. This paper presents the results of the GeoBIM project, which tackled three integration problems focussing instead on aspects involving geometry processing: (i) the automated processing of complex architectural IFC models; (ii) the integration of existing GIS subsoil data in BIM; and (iii) the georeferencing of BIM models for their use in GIS software. All the problems have been studied using real world models and existing datasets made and used by practitioners in The Netherlands. For each problem, this paper exposes in detail the issues faced, proposed solutions, and recommendations for a more successful integration. Numéro de notice : A2018-511 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi7080311 Date de publication en ligne : 02/08/2018 En ligne : https://doi.org/10.3390/ijgi7080311 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91261 [article]