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Recurrent origin–destination network for exploration of human periodic collective dynamics / Xiaojian Chen in Transactions in GIS, vol 26 n° 1 (February 2022)  

Public [article]  inTransactions in GIS > vol 26 n° 1 (February 2022) . - pp 317 - 340 Titre : Recurrent origin–destination network for exploration of human periodic collective dynamics Type de document : Article/Communication Auteurs : Xiaojian Chen, Auteur ; Jiayi Xie, Auteur ; Changjiang Xiao, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 317 - 340 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données localisées dynamiques [Termes IGN] flux [Termes IGN] origine - destination [Termes IGN] planification urbaine [Termes IGN] réseau neuronal récurrent [Termes IGN] série temporelle [Termes IGN] taxi [Termes IGN] Wuhan (Chine) Résumé : (auteur) While daily periodic movements of individuals have been widely studied, their collective dynamics are not understood. To capture periodic collective dynamics, this article represents individual daily movements as a time series of directed weighted origin–destination (OD) networks, and proposes an approach to identify a sub-network called the “recurrent OD network”, which contains frequent edges appearing in each day. Taxi trajectory data over a period of 6 months in Wuhan, China are used for the case study. Here, we extracted the recurrent OD networks for each 2-h period on a given day, and compared them with the corresponding “major OD network” defined by both frequent and infrequent edges. Results show that the recurrent OD networks coincidentally exhibit spatially localized community structures and distinctive patterns of inflow and outflow for each region within a day. Overall, both methodology and findings in this study might make significant contributions in a range of fields, such as urban planning, regional economic development, and infectious disease control. Numéro de notice : A2022-179 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12849 Date de publication en ligne : 05/10/2021 En ligne : https://doi.org/10.1111/tgis.12849 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99838 [article]

Mining spatiotemporal association patterns from complex geographic phenomena / Zhanjun He in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 34 n° 6 (June 2020) . - pp 1162 -1 187 Titre : Mining spatiotemporal association patterns from complex geographic phenomena Type de document : Article/Communication Auteurs : Zhanjun He, Auteur ; Jiannan Cai, Auteur ; Zhong Xie, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1162 -1 187 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] approche hiérarchique [Termes IGN] Chine [Termes IGN] diffusion spatiale [Termes IGN] données localisées dynamiques [Termes IGN] exploration de données géographiques [Termes IGN] interaction spatiale [Termes IGN] modèle entité-association [Termes IGN] modélisation spatio-temporelle [Termes IGN] phénomène géographique [Termes IGN] pollution atmosphérique [Termes IGN] tempête Résumé : (auteur) Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors. Numéro de notice : A2020-340 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1566549 Date de publication en ligne : 01/02/2019 En ligne : https://doi.org/10.1080/13658816.2019.1566549 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95216 [article]

Evolutionary search for understanding movement dynamics on mixed networks / William M. Spears in Geoinformatica, vol 17 n° 2 (April 2013)  

Public [article]  inGeoinformatica > vol 17 n° 2 (April 2013) . - pp 353 - 385 Titre : Evolutionary search for understanding movement dynamics on mixed networks Type de document : Article/Communication Auteurs : William M. Spears, Auteur ; Steven D. Prager, Auteur Année de publication : 2013 Article en page(s) : pp 353 - 385 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] algorithme évolutionniste [Termes IGN] données localisées [Termes IGN] données localisées dynamiques [Termes IGN] navigation [Termes IGN] raisonnement [Termes IGN] recherche d'information géographique Résumé : (Auteur) This paper describes an approach to using evolutionary algorithms for reasoning about paths through network data. The paths investigated in the context of this research are functional paths wherein the characteristics (e.g., path length, morphology, location) of the path are integral to the objective purpose of the path. Using two datasets of combined surface and road networks, the research demonstrates how an evolutionary algorithm can be used to reason about functional paths. We present the algorithm approach, the parameters and fitness function that drive the functional aspects of the path, and an approach for using the algorithm to respond to dynamic changes in the search space. The results of the search process are presented in terms of the overall success based on the response of the search to variations in the environment and through the use of an occupancy grid characterizing the overall search process. The approach offers a great deal of flexibility over more conventional heuristic path finding approaches and offers additional perspective on dynamic network analysis. Numéro de notice : A2013-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-012-0155-x Date de publication en ligne : 11/04/2012 En ligne : https://doi.org/10.1007/s10707-012-0155-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32301 [article]

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Measuring dynamic interaction in movement data / J. Long in Transactions in GIS, vol 17 n° 1 (February 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 1 (February 2013) . - pp 62 - 77 Titre : Measuring dynamic interaction in movement data Type de document : Article/Communication Auteurs : J. Long, Auteur ; T. Nelson, Auteur Année de publication : 2013 Article en page(s) : pp 62 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données localisées dynamiques [Termes IGN] interaction spatiale [Termes IGN] objet mobile Résumé : (Auteur) The emergence of technologies capable of storing detailed records of object locations has presented scientists and researchers with a wealth of data on object movement. Yet analytical methods for investigating more advanced research questions from such detailed movement datasets remain limited in scope and sophistication. Recent advances in the study of movement data has focused on characterizing types of dynamic interactions, such as single-file motion, while little progress has been made on quantifying the degree of such interactions. In this article, we introduce a new method for measuring dynamic interactions (termed DI) between pairs of moving objects. Simulated movement datasets are used to compare DI with an existing correlation statistic. Two applied examples, team sports and wildlife, are used to further demonstrate the value of the DI approach. The DI method is advantageous in that it measures interaction in both movement direction (termed azimuth) and displacement. Also, the DI approach can be applied at local, interval, episodal, and global levels of analysis. However the DI method is limited to situations where movements of two objects are recorded at simultaneous points in time. In conclusion, DI quantifies the level of dynamic interaction between two moving objects, allowing for more thorough investigation of processes affecting interactive moving objects. Numéro de notice : A2013-040 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01354.x Date de publication en ligne : 09/10/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01354.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32178 [article]

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Impact of the quality of spatial 3D city models on sensor networks placement optimization / M. Argany in Geomatica, vol 66 n° 4 (December 2012)  

Public [article]  inGeomatica > vol 66 n° 4 (December 2012) . - pp 291 - 305 Titre : Impact of the quality of spatial 3D city models on sensor networks placement optimization Type de document : Article/Communication Auteurs : M. Argany, Auteur ; Mir Abolfazl Mostafavi, Auteur ; V. Akbarzadeh, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 291 - 305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] capteur terrestre [Termes IGN] données localisées dynamiques [Termes IGN] milieu urbain [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] optimisation (mathématiques) [Termes IGN] qualité des données [Termes IGN] réseau de capteurs [Termes IGN] surveillance Résumé : (Auteur) Sensor networks are increasingly used for tracking, monitoring, and observing spatial dynamic phenomena in the real world (e.g. urban area). In order to ensure an efficient deployment of a sensor network, several optimization algorithms have been proposed in recent years. Most of these algorithms often rely on oversimplified sensor models. In addition, they do not consider information on the terrain topography, city models, and the presence of diverse obstacles in the sensing area (e.g. buildings, trees, poles). Only some of those optimization algorithms attempt to consider the terrain information in the optimization of a sensor network deployment. However, most of these algorithms consider that the spatial models used for this purpose are perfect representations of the reality and are not sensitive to the quality of the information. However, spatial models are simplified representations of a complex reality, and hence are inherently uncertain. In this paper we will investigate the impact of the spatial data quality on the optimization of a sensor network and its spatial coverage in an urban area. For this purpose, we will investigate specific implications of spatial data quality criteria for a 3D city model that will be used in sensor network optimization algorithms. Then, we will analyze the impact of some of those criteria on the estimation of sensor network coverage. Afterwards, a case study for sensor network deployment in an urban area will be presented. This case study will demonstrate the impact of 3D city models quality on the estimation of coverage using global and local optimization algorithms. Finally, the results obtained from this experimentation will be presented and discussed. Numéro de notice : A2012-657 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.5623/cig2012-055 En ligne : https://doi.org/10.5623/cig2012-055 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32103 [article]

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Utilisation de données laser à haute résolution pour le suivi d'un objet dynamique : expérimentation sur une nappe caillouteuse torrentielle (La Lampe, Vercors) / Laurent Astrade in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)

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Métadonnées et qualité pour les systèmes de surveillance en temps réel / C. Gutierrez in Revue internationale de géomatique, vol 19 n° 2 (juin - aout 2009)  

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Métadonnées spatiotemporelles temps réel / C. Gutierrez in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 12 n° 2 (mars - avril 2007)

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The need for a dynamic cadastre system in the modern digital legal cadastre / J. Jarroush in Geomatica, vol 61 n° 1 (March 2007)

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Carte volcanologique de la chaine des Puys / E. Langlois in Géomatique expert, n° 37 (01/10/2004)

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A look at the history and future of animated maps / M. Harrower in Cartographica, vol 39 n° 3 (October 2004)

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Choux, carottes, poubelles et gravières : les chercheurs s'intéressent à tout / Françoise de Blomac in SIG la lettre, n° 59 (septembre 2004)

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A system for change documentation based on a spatiotemporal database / M.A. Peerbocus in Geoinformatica, vol 8 n° 2 (June - August 2004)  

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A global kinetic spatial data structure for a marine simulation / Mir Abolfazl Mostafavi in International journal of geographical information science IJGIS, vol 18 n° 3 (april - may 2004)  

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Geovisualization illustrated / Menno-Jan Kraak in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 5-6 (April - May 2003)  

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