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Immigration and future housing needs in Switzerland: Agent-based modelling of agglomeration Lausanne / Marcello Marini in Computers, Environment and Urban Systems, vol 78 (November 2019)  

Public [article]  inComputers, Environment and Urban Systems > vol 78 (November 2019) Titre : Immigration and future housing needs in Switzerland: Agent-based modelling of agglomeration Lausanne Type de document : Article/Communication Auteurs : Marcello Marini, Auteur ; Ndaona Chokani, Auteur ; Reza S. Abhari, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] agglomération [Termes descripteurs IGN] banlieue [Termes descripteurs IGN] croissance urbaine [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] immigration [Termes descripteurs IGN] Lausanne [Termes descripteurs IGN] logement [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] modèle numérique du bâti [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] périphérie urbaine [Termes descripteurs IGN] projection perspective [Termes descripteurs IGN] système multi-agents Résumé : (auteur) Immigration accounts for 80% of Switzerland's annual population growth, and therefore profoundly impacts demographics, and the attendant housing needs. As there are different possible future scenarios of immigration that will impact urban transformation in Switzerland, we have developed an agent-based dwellings model that, with reasonable computing time due to the use of the computer architecture of graphical processor units, can simulate for a time horizon of decades, the annual evolution of millions of individually characterised households. This dwellings model is coupled to an agent-based population model that simulates millions of individual population agents. We simulate different immigration scenarios, up to 2035, in the Swiss agglomeration of Lausanne. It is shown that the building capacity of the city of Lausanne will reach a limit in 2022, subsequently leading to more rapid growth in the periphery of the agglomeration Lausanne. The construction of new residential dwellings consists primarily of smaller apartments that are more attractive to the demographic of smaller households; this demographic tends to move to the periphery. As families tend to move towards the city centre due to the availability of services, the city and periphery show opposite evolutions over time in the numbers of family households compared to numbers of singles and couples households. The periphery requires an increase in the number and typology of services targeted at the growing demographic of smaller households. Further as most workplaces are still be located in the city centre, the planned improvement of transportation infrastructure in the agglomeration should primarily focus on improved access to the periphery. These observations underline the profound impact of the typology of immigration on the demand for suitable housing, and thus on urban development. Numéro de notice : A2019-413 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2019.101400 date de publication en ligne : 01/09/2019 En ligne : https://doi.org/10.1016/j.compenvurbsys.2019.101400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93538 [article]

A four‐dimensional agent‐based model: A case study of forest‐fire smoke propagation / Alex Smith in Transactions in GIS, vol 23 n° 3 (June 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 3 (June 2019) . - pp 417 - 434 Titre : A four‐dimensional agent‐based model: A case study of forest‐fire smoke propagation Type de document : Article/Communication Auteurs : Alex Smith, Auteur ; Suzana Dragićević, Auteur Année de publication : 2019 Article en page(s) : pp 417 - 434 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] Alberta [Termes descripteurs IGN] Colombie-Britannique (Canada) [Termes descripteurs IGN] données 4D [Termes descripteurs IGN] fumée [Termes descripteurs IGN] incendie de forêt [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] modélisation 4D [Termes descripteurs IGN] risque environnemental [Termes descripteurs IGN] système multi-agents Résumé : (Auteur) Dynamic geospatial complex systems are inherently four‐dimensional (4D) processes and there is a need for spatio‐temporal models that are capable of realistic representation for improved understanding and analysis. Such systems include changes of geological structures, dune formation, landslides, pollutant propagation, forest fires, and urban densification. However, these phenomena are frequently analyzed and represented with modeling approaches that consider only two spatial dimensions and time. Consequently, the main objectives of this study are to design and develop a modeling framework for 4D agent‐based modeling, and to implement the approach to the 4D case study for forest‐fire smoke propagation. The study area is central and southern British Columbia and the western parts of Alberta, Canada for forest fires that occurred in the summer season of 2017. The simulation results produced realistic spatial patterns of the smoke propagation dynamics. Numéro de notice : A2019-253 Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12551 date de publication en ligne : 29/05/2019 En ligne : https://doi.org/10.1111/tgis.12551 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93011 [article]

Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement / Joni A. Downs in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 7-8 (July - August 2018) . - pp 1505 - 1522 Titre : Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement Type de document : Article/Communication Auteurs : Joni A. Downs, Auteur ; Mark Horner, Auteur ; David Lamb, Auteur ; Rebecca W. Loraamm, Auteur ; James Anderson, Auteur ; Brittany Wood, Auteur Année de publication : 2018 Article en page(s) : pp 1505 - 1522 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] aire naturelle (écologie) [Termes descripteurs IGN] densité de population [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] méthode fondée sur le noyau [Termes descripteurs IGN] migration animale [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] population animale [Termes descripteurs IGN] Time-geography Résumé : (auteur) Time-geographic density estimation (TGDE) is a method of movement pattern analysis that generates a continuous intensity surface from a set of tracking data. TGDE has recently been proposed as a method of animal home range estimation, where the goal is to delineate the spatial extents that an animal occupies. This paper tests TGDE’s effectiveness as a home range estimator using simulated movement data. First, an agent-based model is used to simulate tracking data under 16 movement scenarios representing a variety of animal life history traits (habitat preferences, homing behaviour, mobility) and habitat configurations (levels of habitat fragmentation). Second, the accuracy of TGDE is evaluated for four temporal sampling frequencies using three adaptive velocity parameters for 30 sample data sets from each scenario. Third, TGDE accuracy is compared to two other common home range estimation methods, kernel density estimation (KDE) and characteristic hull polygons (CHP). The results demonstrate that TGDE is the most effective at estimating core areas, home ranges and total areas at high sampling frequencies, while CHP performs better at low sampling frequencies. KDE was ineffective across all scenarios explored. Numéro de notice : A2018-281 Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2017.1421764 date de publication en ligne : 03/01/2018 En ligne : https://doi.org/10.1080/13658816.2017.1421764 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90363 [article]

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Gen*: a generic toolkit to generate spatially explicit synthetic populations / Kevin Chapuis in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 5-6 (May - June 2018) . - pp 1194 - 1210 Titre : Gen*: a generic toolkit to generate spatially explicit synthetic populations Type de document : Article/Communication Auteurs : Kevin Chapuis, Auteur ; Patrick Taillandier , Auteur ; Misslin Renaud, Auteur ; Alexis Drogoul, Auteur Année de publication : 2018 Article en page(s) : pp 1194 - 1210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] figuration de la densité [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] population urbaine [Termes descripteurs IGN] programmation par contraintes [Termes descripteurs IGN] recensement démographique [Termes descripteurs IGN] régression [Termes descripteurs IGN] Rouen [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) Agent-based models tend to integrate more and more data that can deeply impact their outcomes. Among these data, the ones that deal with agent attributes and localization are particularly important, but are very difficult to collect. In order to tackle this issue, we propose a complete generic toolkit called Gen* dedicated to generating spatially explicit synthetic populations from global (census and GIS) data. This article focuses on the localization methods provided by Gen* that are based on regression, geometrical constraints and spatial distributions. The toolkit is applied for a case study concerning the generation of the population of Rouen (France) and shows the capabilities of Gen* regarding population spatialization. Numéro de notice : A2018-204 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1440563 date de publication en ligne : 26/02/2018 En ligne : https://doi.org/10.1080/13658816.2018.1440563 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89875 [article]

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Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models / Michael Ying Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 4 (April 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 4 (April 2018) . - pp 203 - 214 Titre : Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models Type de document : Article/Communication Auteurs : Michael Ying Yang, Auteur ; Wentong Liao, Auteur ; Yanpeng Cao, Auteur ; Bodo Rosenhahn, Auteur Année de publication : 2018 Article en page(s) : pp 203 - 214 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] agent (intelligence artificielle) [Termes descripteurs IGN] apprentissage non-dirigé [Termes descripteurs IGN] approche hiérarchique [Termes descripteurs IGN] image vidéo [Termes descripteurs IGN] modèle de Markov [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] séquence d'images Résumé : (Auteur) In this paper, we present an unsupervised learning framework for analyzing activities and interactions in surveillance videos. In our framework, three levels of video events are connected by Hierarchical Dirichlet Process (HDP) model: low-level visual features, simple atomic activities, and multi-agent interactions. Atomic activities are represented as distribution of low-level features, while complicated interactions are represented as distribution of atomic activities. This learning process is unsupervised. Given a training video sequence, low-level visual features are extracted based on optic flow and then clustered into different atomic activities and video clips are clustered into different interactions. The HDP model automatically decides the number of clusters, i.e., the categories of atomic activities and interactions. Based on the learned atomic activities and interactions, a training dataset is generated to train the Gaussian Process (GP) classifier. Then, the trained GP models work in newly captured video to classify interactions and detect abnormal events in real time. Furthermore, the temporal dependencies between video events learned by HDP-Hidden Markov Models (HMM) are effectively integrated into GP classifier to enhance the accuracy of the classification in newly captured videos. Our framework couples the benefits of the generative model (HDP) with the discriminant model (GP). We provide detailed experiments showing that our framework enjoys favorable performance in video event classification in real-time in a crowded traffic scene. Numéro de notice : A2018-139 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.4.203 date de publication en ligne : 01/04/2018 En ligne : https://doi.org/10.14358/PERS.84.4.203 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89689 [article]

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Modelling a dynamic forest fuelmarket focusing on wood chips: a spatial agent-based approach to simulate competition among heating plants in the province of Carinthia, Austria / Johannes Scholz in GI Forum, vol 2017 n° 1 ([01/01/2017])  

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An intelligent geospatial processing unit for image classification based on geographic vector agents (GVAs) / Kambiz Borna in Transactions in GIS, vol 20 n° 3 (June 2016)  

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Modelling the spatial evolution of map objects by map agents / Shen Ying in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)  

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Towards process validation for complex transport models: A sensitivity analysis of a social network-enhanced activity-travel model / Nicole Ronald in Computers, Environment and Urban Systems, vol 55 (January 2016)  

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Modelling the constraints of spatial environment in fauna movement simulations: comparison of a boundaries accurate function and a cost function / Laurence Jolivet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-3 W5 (October 2015)  

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La modélisation du temps dans la simulation à base d'agents / Patrick Taillandier in L'information géographique, vol 79 n° 2 (juin 2015)

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Évaluation des conséquences d’aménagements d’infrastructures sur les déplacements d’animaux : Définition et expérimentation d’un modèle de simulation agent / Laurence Jolivet in Cybergeo, European journal of geography, n° 2015 (2015)  

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Towards a 3D spatial urban energy modelling approach / Jean-Marie Bahu in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)

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3D City Models and urban information: Current issues and perspectives / Roland Billen (2014)  

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JFSMA'14 systèmes multi-agents : principe de parcimonie, 8-10 octobre 2014, Loriol-sur-Drôme / Rémy Courdier (2014)  

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