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Auteur Otto Huisman |
Documents disponibles écrits par cet auteur (3)
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Parallel indexing technique for spatio-temporal data / Zhenwen He in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
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Titre : Parallel indexing technique for spatio-temporal data Type de document : Article/Communication Auteurs : Zhenwen He, Auteur ; Menno-Jan Kraak, Auteur ; Otto Huisman, Auteur Année de publication : 2013 Article en page(s) : pp 116 - 128 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] arbre-R
[Termes IGN] données hétérogènes
[Termes IGN] données spatiotemporelles
[Termes IGN] indexation spatiale
[Termes IGN] requête spatiotemporelle
[Termes IGN] système d'information géographique
[Termes IGN] traitement parallèleRésumé : (Auteur) The requirements for efficient access and management of massive multi-dimensional spatio-temporal data in geographical information system and its applications are well recognized and researched. The most popular spatio-temporal access method is the R-Tree and its variants. However, it is difficult to use them for parallel access to multi-dimensional spatio-temporal data because R-Trees, and variants thereof, are in hierarchical structures which have severe overlapping problems in high dimensional space. We extended a two-dimensional interval space representation of intervals to a multi-dimensional parallel space, and present a set of formulae to transform spatio-temporal queries into parallel interval set operations. This transformation reduces problems of multi-dimensional object relationships to simpler two-dimensional spatial intersection problems. Experimental results show that the new parallel approach presented in this paper has superior range query performance than R*-trees for handling multi-dimensional spatio-temporal data and multi-dimensional interval data. When the number of CPU cores is larger than that of the space dimensions, the insertion performance of this new approach is also superior to R*-trees. The proposed approach provides a potential parallel indexing solution for fast data retrieval of massive four-dimensional or higher dimensional spatio-temporal data. Numéro de notice : A2013-182 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32320
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 116 - 128[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube / I. Santiago in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
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Titre : Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube Type de document : Article/Communication Auteurs : I. Santiago, Auteur ; Otto Huisman, Auteur ; Menno-Jan Kraak, Auteur ; B. Restios, Auteur Année de publication : 2009 Article en page(s) : pp 225 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données spatiotemporelles
[Termes IGN] graphe
[Termes IGN] Porto Rico
[Termes IGN] site archéologique
[Termes IGN] système d'information géographique
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Over the past several decades, archaeologists have been developing and improving methods for collection, analysis, visualization, and modeling of site information. Despite the increasing capabilities of GlScience tools in recent years, archaeology is an application domain where these capabilities have not been fully utilized. This paper presents preliminary results on the development of geovisual analytics functions for archaeological investigation by extending Space-Time Cube (STC) software currently under development. Graph-theoretical techniques are implemented to uncover and visualize spatio-temporal relationships between artefacts from different historical periods excavated at different locations. These techniques are implemented and tested on a database of archaeological sites in Puerto Rico. The contribution of this research to visual analytics is the integration of space, time, and relationships within a single interactive environment. The extended STC facilitates insight into potential interactions or clashes among different cultures identified through archaeological digs. This is achieved through building linkages between database tuples based on attribute similarities which can be explicitly visualized and queried within the STC environment. The paper concludes with a summary of the effectiveness and potential of the prototype and its functionality. Copyright CaGISociety Numéro de notice : A2009-267 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988297 En ligne : https://doi.org/10.1559/152304009788988297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29897
in Cartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 225 - 236[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-09031 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Principles of geographic information systems: an introductory textbook Type de document : Guide/Manuel Auteurs : Otto Huisman, Éditeur scientifique ; A. De By Rolf, Éditeur scientifique Editeur : Enschede [Pays-Bas] : International Institute for Geo-Information Science and Earth Observation ITC Année de publication : 2009 Collection : ITC Educational textbook series, ISSN 1567-5777 Importance : 540 p. Format : 30 x 21 cm ISBN/ISSN/EAN : 978-90-6164-269-5 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse spatiale
[Termes IGN] base de données localisées
[Termes IGN] données localisées
[Termes IGN] système d'information géographique
[Termes IGN] visualisation de donnéesRésumé : (documentaliste) Cours sur support numérique en anglais sur les notions indispensables aux SIG. Note de contenu : 1. A gentle introduction to GIS
2. Geographical information and spatial data types
3. Data management and processing systems
4. Spatial referencing and positioning
5. Data entry and preparation
6. Spatial data analysis
7. Data visualizationNuméro de notice : 14954 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77820 Documents numériques
en open access
principles of GISAdobe Acrobat PDF