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Panda∗: A generic and scalable framework for predictive spatio-temporal queries / Abdeltawab M. Hendawi in Geoinformatica, vol 21 n° 2 (April - June 2017)
[article]
Titre : Panda∗: A generic and scalable framework for predictive spatio-temporal queries Type de document : Article/Communication Auteurs : Abdeltawab M. Hendawi, Auteur ; Mohamed Ali, Auteur ; Mohamed F. Mokbel, Auteur Année de publication : 2017 Article en page(s) : pp 175 - 208 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] environnement de développement
[Termes IGN] espace euclidien
[Termes IGN] gestion de trafic
[Termes IGN] objet mobile
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] prédiction
[Termes IGN] requête spatiotemporelleRésumé : (Auteur) Predictive spatio-temporal queries are crucial in many applications. Traffic management is an example application, where predictive spatial queries are issued to anticipate jammed areas in advance. Also, location-aware advertising is another example application that targets customers expected to be in the vicinity of a shopping mall in the near future. In this paper, we introduce Panda∗, a generic framework for supporting spatial predictive queries over moving objects in Euclidean spaces. Panda∗ distinguishes itself from previous work in spatial predictive query processing by the following features: (1) Panda∗ is generic in terms of supporting commonly-used types of queries, (e.g., predictive range, KNN, aggregate queries) over stationary points of interests as well as moving objects. (2) Panda∗ employees a prediction function that provides accurate prediction even under the absence or the scarcity of the objects’ historical trajectories. (3) Panda∗ is customizable in the sense that it isolates the prediction calculation from query processing. Hence, it enables the injection and integration of user defined prediction functions within its query processing framework. (4) Panda∗ deals with uncertainties and variabilities in the expected travel time from source to destination in response to incomplete information and/or dynamic changes in the underlying Euclidean space. (5) Panda∗ provides a controllable parameter that trades low latency responses for computational resources. Experimental analysis proves the scalability of Panda∗ in evaluating a massive volume of predictive queries over large numbers of moving objects. Numéro de notice : A2017-068 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0284-8 En ligne : http://dx.doi.org/10.1007/s10707-016-0284-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84295
in Geoinformatica > vol 21 n° 2 (April - June 2017) . - pp 175 - 208[article]Recherche des objets mobiles dans les réseaux routiers : Une approche basée sur l’analyse formelle de concepts / Hafedh Ferchichi in Revue internationale de géomatique, vol 27 n° 2 (avril - juin 2017)
[article]
Titre : Recherche des objets mobiles dans les réseaux routiers : Une approche basée sur l’analyse formelle de concepts Type de document : Article/Communication Auteurs : Hafedh Ferchichi, Auteur ; Jalel Akaichi, Auteur Année de publication : 2017 Article en page(s) : pp 223 - 247 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatiale
[Termes IGN] indexation sémantique
[Termes IGN] objet mobile
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] point d'intérêt
[Termes IGN] réseau routierRésumé : (Auteur) Ce papier présente une nouvelle approche de recherche en continu des K plus proches voisins (C-KNN). Notre approche, qui s’applique aux réseaux routiers, adopte l’analyse formelle de concepts (AFC) qui est un paradigme à base de fondement mathématique. AFC permettra de présenter une abstraction du réseau qui se base sur les voisinages. L’approche proposée consiste à construire le treillis de Galois à partir des relations binaires entre les points d’intérêts candidats et leurs propriétés. Ces dernières sont extraites à partir d’un ensemble de capteurs associés au réseau routier en question. Une phase d’indexation permet d’accélérer le processus de recherche afin de réduire le temps de traitement. Une étude de cas et une expérimentation sont aussi proposées afin de montrer la faisabilité de notre approche de recherche en continu des k-NN à base d’AFC. Numéro de notice : A2017-386 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/rig.2017.00015 En ligne : https://doi.org/10.3166/rig.2017.00015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85819
in Revue internationale de géomatique > vol 27 n° 2 (avril - juin 2017) . - pp 223 - 247[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 047-2017021 SL Revue Centre de documentation Revues en salle Disponible Unsupervised object-based differencing for land-cover change detection / Jinxia Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 3 (March 2017)
[article]
Titre : Unsupervised object-based differencing for land-cover change detection Type de document : Article/Communication Auteurs : Jinxia Zhu, Auteur ; Yanjun Su, Auteur ; Qinghua Guo, Auteur ; Thomas C. Harmon, Auteur Année de publication : 2017 Article en page(s) : pp 225 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme espérance-maximisation
[Termes IGN] altération
[Termes IGN] autocorrélation
[Termes IGN] changement d'occupation du sol
[Termes IGN] Chine
[Termes IGN] classification non dirigée
[Termes IGN] classification orientée objet
[Termes IGN] détection de changement
[Termes IGN] image multitemporelle
[Termes IGN] image SPOT-HRV
[Termes IGN] occupation du sol
[Termes IGN] traitement d'imageRésumé : (Auteur) One main problem of the spectral decomposition-based change detection method is the lack of efficient automatic techniques for developing the difference image. Traditional techniques generally assume that gray-level values in a difference image are independent and multitemporal images are co-registered/rectified perfectly without error. However, such assumptions are often violated because of the inevitable image misregistration and the interference of correlations between spectral bands. This study proposes an automated method based on the object-based multivariate alteration detection/maximum autocorrelation factor approach and the Gaussian mixture model-expectation maximization algorithm to obtain unsupervised difference images. This procedure is applied to bi-temporal (2005 and 2006) SPOT-HRV images at Panyu District Ponds, China. Results show that the proposed method successfully excludes the correlations of spectral bands and the influence of misregistration, as evidenced by a higher accuracy (up to 93.6 percent). These unique technical characteristics make this analytical framework suitable for detecting changes. Numéro de notice : A2017-089 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.3.225 En ligne : https://doi.org/10.14358/PERS.83.3.225 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84424
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 3 (March 2017) . - pp 225 - 236[article]
Titre : Advances in cartography and GIScience : Selections from the International Cartographic Conference 2017 Type de document : Actes de congrès Auteurs : Michael P. Peterson, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2017 Collection : Lecture notes in Geoinformation and Cartography Sous-collection : Publications of the International Cartographic Association ICA Conférence : ICC 2017, 28th International Cartographic Conference ICA 02/07/2017 07/07/2017 Washington DC Etats-Unis OA Proceedings of the ICA Importance : 542 p. Format : 15 x 21 cm ISBN/ISSN/EAN : 978-3-319-57335-9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] analyse numérique
[Termes IGN] calcul d'itinéraire
[Termes IGN] carte interactive
[Termes IGN] cartographie collaborative
[Termes IGN] conception cartographique
[Termes IGN] données localisées des bénévoles
[Termes IGN] géovisualisation
[Termes IGN] navigation pédestre
[Termes IGN] qualité cartographique
[Termes IGN] qualité des données
[Termes IGN] temps réel
[Termes IGN] trafic routierNote de contenu : Part 1 : The Span of Cartography
- Cartographic Memory Preservation of the Petrópolis City in Brazil: Koeler Map Scanning Using Photographic Survey. Manoel do C. Fernandes, Tainá Laeta, Deivison F. dos Santos, Paulo M. L. de Menezes
- Location Spoofing in a Location-Based Game: A Case Study of Pokémon Go. Bo Zhao, Qinying Chen
Part 2 : Crowdsourcing and Data
- Educational Aspects of Crowdsourced Noise Mapping. Andrea Pődör, László Zentai
- Crowd and Community Sourced Data Quality Assessment. Laurence Jolivet, Ana-Maria Olteanu-Raimond
- Crowdsourcing Mapping and Participatory Planning Support System: Case Study of Brno, Czechia. Jiří Pánek, Vít Pászto
- A Framework for Enhancing Real-Time Social Media Data to Improve the Disaster Management Process. Syed Attique Shah, Dursun Zafer Şeker, Hande Demirel
- Building a Real-Time Geo-Targeted Event Observation (Geo) Viewer for Disaster Management and Situation Awareness. Ming-Hsiang Tsou, Chin-Te Jung, Christopher Allen, Jiue-An Yang, Su Yeon Han, Brian H. Spitzberg et al.
- The Academic SDI—Towards Understanding Spatial Data Infrastructures for Research and Education. Serena Coetzee, Stefan Steiniger, Barend Köbben, Adam Iwaniak, Iwona Kaczmarek, Petr Rapant et al.
Part 3 : Map Design
- Introducing Leader Lines into Scale-Aware Consistent Labeling. Hsiang-Yun Wu, Shigeo Takahashi, Sheung-Hung Poon, Masatoshi Arikawa
- On the Way to Create Individualized Cartographic Images for Online Maps Using Free and Open Source Tools. Csaba Szigeti, Gáspár Albert, Virág Ilyés, Dávid Kis, Dávid Várkonyi
- Hebrus Valles—The Mars Exploration Zone Map. Mateusz Pitura
- XY Domain: A Sound Map Artwork for Communicating Big Data Characteristics. Antoni B. Moore, Charlotte Parallel
- Reproducible Cartography. Timothée Giraud, Nicolas Lambert
Part 4 : Evaluating Map Quality
- Effectiveness and Efficiency of Using Different Types of Rectangular Treemap as Diagrams in Cartography. Mengjie Zhou, Yan Cheng, Ning Ye, Jing Tian
- The Usability of a GeoVisual Analytics Environment for the Exploration and Analysis of Different Datasets. Irma Kveladze, Menno-Jan Kraak, Corné P. J. M. van Elzakker
- Characterizing Maps from Visual Properties. Catherine Dominguès, Laurence Jolivet
- How Hard Is It to Design Maps for Beginners, Intermediates and Experts? Gáspár Albert, Virág Ilyés, Csaba Szigeti, Dávid Kis, Dávid Várkonyi
- Interaction Problems Found Through Usability Testing on Interactive Maps. Elaine Gomes Vieira de Jesus, Patricia Lustosa Brito, Vivian de Oliveira Fernandes
- The Apprehension of Overlaid Information in a Web Map. Dzenan Dumpor, Terje Midtbø
- Visualization of Environment-related Information in Augmented Reality: Analysis of User Needs. Kateřina Chmelařová, Čeněk Šašinka, Zdeněk Stachoň
Part 5 : Geographic Analysis
- Analysis and Visualization of the Urban Residents’ Income-Related Happiness Index in China. Ying Song, Yang Yu, Yanfang Liu, Zixi Liu, Qianyi Li, Guoguang Xu
- Displaying Voter Gains and Losses: Local Government Elections in South Africa for 2011 and 2016. Peter M. U. Schmitz
- Mapping Community Vulnerability to Poaching: A Whole-of-Society Approach. Peter M. U. Schmitz, Duarte Gonçalves, Merin Jacobs
- Mapping Urban Landscapes Along Streets Using Google Street View. Xiaojiang Li, Carlo Ratti, Ian Seiferling
Part 6 : Numerical Analysis
- Cross-Scale Analysis of Sub-pixel Variations in Digital Elevation Models. Mehran Ghandehari, Barbara P. Buttenfield, Carson J. Q. Farmer
- Extraction of Ridge Lines from Grid DEMs with the Steepest Ascent Method Based on Constrained Direction. Wenping Jiang, Daping Xi, Xiaolong Deng, Lina Huang, Shen Ying
- Using the A⋆ Algorithm to Find Optimal Sequences for Area Aggregation. Dongliang Peng, Alexander Wolff, Jan-Henrik Haunert
- Quantitative Expressions of Spatial Similarity in Multi-scale Map Spaces. Haowen Yan, Liming Zhang, Zhonghui Wang, Weifang Yang, Tao Liu, Liang Zhou
- Balanced Allocation of Multi-criteria Geographic Areas by a Genetic Algorithm. Shahin Sharifi Noorian, Christian E. Murphy
- Rethinking the Buffering Approach for Assessing OpenStreetMap Positional Accuracy. Qi Zhou
- Data Classification for Highlighting Polygons with Local Extreme Values in Choropleth Maps. Jochen Schiewe
Part 7 : Routing
- A Confidence-Based Approach for the Assessment of Accessibility of Pedestrian Network for Manual Wheelchair Users. Amin Gharebaghi, Mir-Abolfazl Mostafavi, Geoffrey Edwards, Patrick Fougeyrollas, Patrick Morales-Coayla, François Routhier et al.
- Accessibility in Pedestrian Routing. Megen Brittell, Christine Grummon, Amy Lobben, Masrudy Omri, Nicholas Perdue
- Visualization of Traffic Bottlenecks: Combining Traffic Congestion with Complicated Crossings. Andreas Keler, Jukka M. Krisp, Linfang Ding
- Psychogeography in the Age of the Quantified Self—Mental Map Modelling with Georeferenced Personal Activity Data. Sebastian Meier, Katrin Glinka
Part 8 : Final Reflections
- In Search of the Essence of Cartography. Marek Baranowski, Dariusz Gotlib, Robert OlszewskiNuméro de notice : 19871 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes En ligne : https://doi.org/10.1007/978-3-319-57336-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86071 ContientExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 19871-02 CG2017 Livre Centre de documentation Congrès Disponible 19871-01 K325 Livre LASTIG Dépôt en unité Exclu du prêt Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects / Wenhao Yu in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)
[article]
Titre : Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects Type de document : Article/Communication Auteurs : Wenhao Yu, Auteur ; Tinghua Ai, Auteur ; Yakun He, Auteur ; Shivei Shao, Auteur Année de publication : 2017 Article en page(s) : pp 280 - 296 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] co-positionnement
[Termes IGN] contrainte relationnelle
[Termes IGN] exploration de données
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] point d'intérêt
[Termes IGN] réseau routierRésumé : (auteur) The aim of mining spatial co-location patterns is to find the corresponding subsets of spatial features that have strong spatial correlation in the real world. This is an important technology for the extraction and comprehension of implicit knowledge in large spatial databases. However, existing methods of co-location mining consider events as taking place in a homogeneous and isotropic context in Euclidean space, whereas the physical movement in an urban space is usually constrained by a road network. Furthermore, previous works do not take the ‘distance decay effect’ of spatial interactions into account, which may reduce the effectiveness of the result. Here we propose an improved spatial co-location pattern mining method, including the network-constrained neighborhood and addition of a distance-decay function, to find the spatial dependence between network phenomena (e.g. urban facilities). The underlying idea is to utilize a model function in the interest measure calculation to weight the contribution of a co-location to the overall interest measure instance inversely proportional to the separation distance. Our approach was evaluated through extensive experiments using facility points-of-interest data sets. The results show that the network-constrained approach is a more effective method than the traditional one in network-structured space. The proposed approach can also be applied to other human activities (e.g. traffic accidents) constrained by a street network. Numéro de notice : A2017-033 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1194423 En ligne : http://dx.doi.org/10.1080/13658816.2016.1194423 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84026
in International journal of geographical information science IJGIS > vol 31 n° 1-2 (January - February 2017) . - pp 280 - 296[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2017011 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017012 RAB Revue Centre de documentation En réserve L003 Disponible Usability of an opportunistic interface concept for ad hoc ride-sharing / Michael Rigby in International journal of cartography, vol 2 n° 2 (December 2016)PermalinkSpatio-temporal analysis of crime by developing a method to detect critical distances for the Knox test / Moshen Kalantari in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkOn discovering co-location patterns in datasets : a case study of pollutants and child cancers / Jundong Li in Geoinformatica, vol 20 n° 4 (October - December 2016)PermalinkEfficient terrestrial laser scan segmentation exploiting data structure / Hamid Mahmoudabadi in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkA method for finding a least-cost wide path in raster space / Takeshi Shirabe in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkThe direction-constrained k nearest neighbor query dealing with spatio-directional objects / Min-Joong Lee in Geoinformatica, vol 20 n° 3 (July - September 2016)PermalinkBarycentre method for solving distance equations / X. Shuqiang in Survey review, vol 48 n° 348 (May 2016)PermalinkTrajectory Box Plot: a new pattern to summarize movements / Laurent Etienne in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)PermalinkA meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data / Gherardo Chirici in Remote sensing of environment, vol 176 (April 2016)PermalinkMulti-agent based path planning for first responders among moving obstacles / Zhiyong Wang in Computers, Environment and Urban Systems, vol 56 (March 2016)Permalink