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Recognizing linear building patterns in topographic data by using two new indices based on Delaunay triangulation / Xianjin He in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 4 (April 2020) . - 14 p. Titre : Recognizing linear building patterns in topographic data by using two new indices based on Delaunay triangulation Type de document : Article/Communication Auteurs : Xianjin He, Auteur ; Min Deng, Auteur Année de publication : 2020 Article en page(s) : 14 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] adjacence [Termes descripteurs IGN] direction [Termes descripteurs IGN] discontinuité [Termes descripteurs IGN] données topographiques [Termes descripteurs IGN] modèle linéaire [Termes descripteurs IGN] modèle numérique du bâti [Termes descripteurs IGN] reconnaissance de formes [Termes descripteurs IGN] segmentation [Termes descripteurs IGN] triangulation de Delaunay [Termes descripteurs IGN] voisinage (topologie) Résumé : (auteur) Building pattern recognition is fundamental to a wide range of downstream applications, such as urban landscape evaluation, social analyses, and map generalization. Although many studies have been conducted, there is still a lack of satisfactory results, due to the imprecision of the relative direction model of any two adjacent buildings and the ineffective extraction methods. This study aims to provide an alternative for quantifying the direction and the spatial continuity of any two buildings on the basis of the Delaunay triangulation for the recognition of linear building patterns. First, constrained Delaunay triangulations (CDTs) are created for all buildings within each block and every two adjacent buildings. Then, the spatial continuity index (SCI), the direction index (DI), and other spatial relations (e.g., distance) of every two adjacent buildings are derived using the CDT. Finally, the building block is modelled as a graph based on derived matrices, and a graph segmentation approach is proposed to extract linear building patterns. In the segmentation process, the edges of the graph are removed first, according to the global thresholds of the SCI and distance, and are subsequently subdivided into subgraphs on direction rules. The proposed method is tested using three datasets. The experimental results suggest that the proposed method can recognize both collinear and curvilinear building patterns, given that the correctness values are all above 92% for the three study areas. The results also demonstrate that the novel SCI can effectively filter many insignificant neighbor relationships in the graph segmentation process. It is noteworthy that the proposed DI is capable of measuring building relative directions accurately and works efficiently in linear building pattern extraction. Numéro de notice : A2020-267 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9040231 date de publication en ligne : 09/04/2020 En ligne : https://doi.org/10.3390/ijgi9040231 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95031 [article]

Formal representation of qualitative direction / Christian Freksa in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 11-12 (November - December 2018) . - pp 2514 - 2534 Titre : Formal representation of qualitative direction Type de document : Article/Communication Auteurs : Christian Freksa, Auteur ; Jasper van de Ven, Auteur ; Diedrich Wolter, Auteur Année de publication : 2018 Article en page(s) : pp 2514 - 2534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] direction [Termes descripteurs IGN] raisonnement spatial [Termes descripteurs IGN] représentation cartographique [Termes descripteurs IGN] représentation spatiale [Termes descripteurs IGN] traitement de données localisées Résumé : (Auteur) This paper reviews formal approaches to representing spatial knowledge about qualitative direction. Unlike geometric direction information, qualitative information does not employ numerical values but relies on comparison. The qualitative approach is often regarded as suitable for capturing commonsense concepts and thus is relevant to human-centered interfaces for spatial information systems. To establish a context for the work on qualitative direction, we preset a brief history of the development of qualitative temporal and spatial representations from different scientific perspectives. We identify main focal areas of these representations of spatial direction and propose a taxonomy. In the light of more than three decades of fruitful research, we obtain a map of formal representations that reveal interrelationships between different research strands in the field. Numéro de notice : A2018-528 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1420794 date de publication en ligne : 25/01/2018 En ligne : https://doi.org/10.1080/13658816.2017.1420794 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91366 [article]

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Interactive discovery of sequential patterns in time series of wind data / Norhakim Yusof in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1486 - 1506 Titre : Interactive discovery of sequential patterns in time series of wind data Type de document : Article/Communication Auteurs : Norhakim Yusof, Auteur ; Raul Zurita-Milla, Auteur ; Menno-Jan Kraak, Auteur ; Bas Retsios, Auteur Année de publication : 2016 Article en page(s) : pp 1486 - 1506 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] carte interactive [Termes descripteurs IGN] direction [Termes descripteurs IGN] météorologie [Termes descripteurs IGN] vent [Termes descripteurs IGN] visualisation de données statistiques [Termes descripteurs IGN] vitesse Résumé : (Auteur) Wind speed and direction vary over space and time due to the interactions between different pressures and temperature gradients within the atmospheric layers. Near the earth’s surface, these interactions are modulated by topography and artificial structures. Hence, characterizing wind behaviour over large areas and long periods is a complex but essential task for various energy-related applications. In this study, we present a novel approach to discover wind patterns by integrating sequential pattern mining and interactive visualization techniques. The approach relies on the use of the Linear time Closed pattern Miner sequence algorithm in conjunction with a time sliding window that allows the discovery of all sequential patterns present in the data. These patterns are then visualized using integrated 2D and 3D coordinated multiple views and visually explored to gain insight into the characteristics of the wind from a spatial, temporal and attribute (type of wind pattern) point of view. This proposed approach is used to analyse 10 years of hourly wind speed and direction data for 29 weather stations in the Netherlands. The results show that there are 15 main sequential patterns in the data. The spatial task shows that weather stations located in the same region do not necessarily experience similar wind pattern. For within the selected time interval, similar wind patterns can be observed in different stations and in the same station at different times of occurrence. The attribute task discovered that the repetitive occurrences of chosen pattern indicate as regular wind behaviour at different weather stations that persisted continuously over time. The results of these tasks show that the proposed interactive discovery facilitates the understanding of wind dynamics in space and time. Numéro de notice : A2016-316 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1135928 En ligne : http://dx.doi.org/10.1080/13658816.2015.1135928 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80936 [article]

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Constrained free space diagrams: a tool for trajectory analysis / Kevin Buchin in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 1101 - 1125 Titre : Constrained free space diagrams: a tool for trajectory analysis Type de document : Article/Communication Auteurs : Kevin Buchin, Auteur ; M. Buchin, Auteur ; J. Gudmundsson, Auteur Année de publication : 2010 Article en page(s) : pp 1101 - 1125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] cible mobile [Termes descripteurs IGN] courbe [Termes descripteurs IGN] diagramme [Termes descripteurs IGN] direction [Termes descripteurs IGN] objet mobile [Termes descripteurs IGN] similitude [Termes descripteurs IGN] trajectoire [Termes descripteurs IGN] vitesse Résumé : (Auteur) Time plays an important role in the analysis of moving object data. For many applications it is not sufficient to only compare objects at exactly the same times, or to consider only the geometry of their trajectories. We show how to leverage between these two approaches by extending a tool from curve analysis, namely the free space diagram. Our approach also allows us to take further attributes of the objects like speed or direction into account. We demonstrate the usefulness of the new tool by applying it to the problem of detecting single file movement. A single file is a set of moving entities, which are following each other, one behind the other. Our algorithm is the first one developed for detecting such movement patterns. For this application, we analyse demonstrate the performance of our tool both theoretically experimentally. Numéro de notice : A2010-322 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903569598 En ligne : https://doi.org/10.1080/13658810903569598 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30516 [article]

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Urban granularities: a data structure for cognitively ergonomic route directions / Alexander Klippel in Geoinformatica, vol 13 n° 2 (June 2009)

Public [article]  inGeoinformatica > vol 13 n° 2 (June 2009) . - pp 223 - 247 Titre : Urban granularities: a data structure for cognitively ergonomic route directions Type de document : Article/Communication Auteurs : Alexander Klippel, Auteur ; S. Hansen, Auteur ; Stephan Winter, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 223 - 247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] cognition [Termes descripteurs IGN] direction [Termes descripteurs IGN] granularité [Termes descripteurs IGN] îlot urbain [Termes descripteurs IGN] modèle logique de données [Termes descripteurs IGN] quartier [Termes descripteurs IGN] route Résumé : (Auteur) This paper addresses a data structure specification for route directions that incorporates essential aspects of cognitive information processing. Specifically, we characterize levels of granularity in route directions as the result of the hierarchical organization of urban spatial knowledge. We discuss changes of granularity in route directions that result from combining elementary route information into higher-order elements (so called spatial chunking). We provide a framework that captures the pertinent aspects of spatial chunking. The framework is based on established principles used—from a cognitive perspective—for changing the granularity in route directions. The data structure we specify based on this framework allows us to bridge the gap between results from behavioral cognitive science studies and requirements of information systems. We discuss the theoretical underpinning of the core elements of the data structure and provide examples for its application. Copyright Springer Numéro de notice : A2009-077 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29707 [article]

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Wind resource assessment from C-band SAR / M.B. Christiansen in Remote sensing of environment, vol 105 n° 1 (15/11/2006)

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Turn, turn, turn: wheel-speed dead reckoning for vehicle navigation / C. Hay in GPS world, vol 16 n° 10 (October 2005)

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Das Magnetfeld der Erde als Grundlage für Richtungsbestimmungen / K. Bleiel (1974)

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