Détail de l'auteur
Auteur Suzana Dragićević |
Documents disponibles écrits par cet auteur



Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development / Kendra Munn in Cartography and Geographic Information Science, vol 48 n° 2 (March 2021)
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Titre : Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development Type de document : Article/Communication Auteurs : Kendra Munn, Auteur ; Suzana Dragićević, Auteur Année de publication : 2021 Article en page(s) : pp 105 - 123 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] analyse multicritère
[Termes descripteurs IGN] combinaison linéaire ponderée
[Termes descripteurs IGN] compréhension de l'image
[Termes descripteurs IGN] croissance urbaine
[Termes descripteurs IGN] densification
[Termes descripteurs IGN] hauteur du bâti
[Termes descripteurs IGN] logement
[Termes descripteurs IGN] modèle 3D de l'espace urbain
[Termes descripteurs IGN] planification urbaine
[Termes descripteurs IGN] urbanisme
[Termes descripteurs IGN] Vancouver (Colombie britannique)Résumé : (Auteur) Urban densification is often seen as a process that aims to limit the negative environmental impacts of urban sprawl in rapidly growing cities by prioritizing planning policies stimulating vertical growth (or high-rise development) over expansion along the urban fringe. Densification of major Canadian urban areas has led to the proliferation of high-rises with an increasing proportion of residents occupying these buildings rather than traditional individual housing. Thus, there is a need for analytical methods that can evaluate the suitability of different residential units in vertical urban developments based on unique criteria for different stakeholders such as prospective residents, developers, or municipal planners. Multi-criteria evaluation (MCE) analysis with weighted linear combination (WLC) is frequently implemented in geographic information systems (GIS) to identify the appropriate solution(s) for a decision problem. However, there are currently no available MCE methods for spatial analysis that can provide evaluation in a three-dimensional (3D) GIS environment, such as for urban vertical development. Therefore, the main objective of this study is to propose a 3D WLC-MCE suitability analysis method for suitability of high-rise residential units in a dense urban area. Five preference scenarios were developed and applied to data from City of Vancouver, Canada. The results indicate that south-facing units and units on higher floors generally exhibit higher levels of suitability as they are less affected by the noise and pollution of the urban road network and receive more sunlight and ocean views. The proposed 3D MCE approach can be used for urban planning and property tax assessment. Numéro de notice : A2021-096 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1845981 date de publication en ligne : 03/12/2020 En ligne : https://doi.org/10.1080/15230406.2020.1845981 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97020
in Cartography and Geographic Information Science > vol 48 n° 2 (March 2021) . - pp 105 - 123[article]NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread / Taylor Anderson in International journal of geographical information science IJGIS, vol 34 n° 9 (September 2020)
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Titre : NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread Type de document : Article/Communication Auteurs : Taylor Anderson, Auteur ; Suzana Dragićević, Auteur Année de publication : 2020 Article en page(s) : pp 1792 - 1821 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] agent (intelligence artificielle)
[Termes descripteurs IGN] épidémie
[Termes descripteurs IGN] interaction spatiale
[Termes descripteurs IGN] modèle orienté agent
[Termes descripteurs IGN] outil d'aide à la décision
[Termes descripteurs IGN] réseau intelligent
[Termes descripteurs IGN] théorie des graphes
[Termes descripteurs IGN] Vancouver (Colombie britannique)Résumé : (auteur) Agent-based models (ABM) are used to represent a variety of complex systems by simulating the local interactions between system components from which observable spatial patterns at the system-level emerge. Thus, the degree to which these interactions are represented correctly must be evaluated. Networks can be used to discretely represent and quantify interactions between system components and the emergent system structure. Therefore, the main objective of this study is to develop and implement a novel validation approach called the NEtworks for ABM Testing (NEAT) that integrates geographic information science, ABM approaches, and spatial network representations to simulate complex systems as measurable and dynamic spatial networks. The simulated spatial network structures are measured using graph theory and compared with empirical regularities of observed real networks. The approach is implemented to validate a theoretical ABM representing the spread of influenza in the City of Vancouver, Canada. Results demonstrate that the NEAT approach can validate whether the internal model processes are represented realistically, thus better enabling the use of ABMs in decision-making processes. Numéro de notice : A2020-478 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1741000 date de publication en ligne : 06/04/2020 En ligne : https://doi.org/10.1080/13658816.2020.1741000 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95625
in International journal of geographical information science IJGIS > vol 34 n° 9 (September 2020) . - pp 1792 - 1821[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2020091 SL Revue Centre de documentation Revues en salle Disponible V-4 - August 2020 - [Actes] XXIV ISPRS virtual Congress, Commission 4, 31th August-2nd September 2020, Nice, France (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Nicolas Paparoditis
Contient
- Opportunities and challenges for augmented reality situated geographical visualization / María-Jesús Lobo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-4 (August 2020)
- A regression model of spatial accuracy prediction for Openstreetmap buildings / Ibrahim Maidaneh Abdi in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-4 (August 2020)
Titre : XXIV ISPRS Congress, Commission 4 Type de document : Actes de congrès Auteurs : Nicolas Paparoditis , Editeur scientifique ; Clément Mallet
, Editeur scientifique ; Florent Lafarge, Editeur scientifique ; Sisi Zlatanova, Editeur scientifique ; Suzana Dragićević, Editeur scientifique ; George Sithole, Editeur scientifique ; et al., Editeur scientifique
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLIII-B4-2020 Conférence : ISPRS 2020, Commission 4, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 4 Langues : Anglais (eng) Numéro de notice : 17628 Affiliation des auteurs : ENSG+Ext (2020- ) Thématique : IMAGERIE Nature : Actes nature-HAL : DirectOuvrColl/Actes DOI : sans date de publication en ligne : 06/08/2020 En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/in [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97139 Voir aussiA 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)
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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 (Canada)
[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-agentsRésumé : (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 Affiliation des auteurs : non IGN 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
in Transactions in GIS > vol 23 n° 3 (June 2019) . - pp 417 - 434[article]IV-4 - ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, 1–5 October 2018, Delft, The Netherlands (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4 [19/09/2018]) / Sisi Zlatanova
PermalinkGeospatial big data handling theory and methods: A review and research challenges / Songnian Li in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
PermalinkExploring the decision tree method for modelling urban land use change / Mileva Samardžić-Petrović in Geomatica [en ligne], vol 69 n° 3 (september 2015)
Permalinkvol 69 n° 3 - september 2015 - Advances in Geospatial Statistical Modelling Analysis and Data Mining (Bulletin de Geomatica [en ligne]) / Emmanuel Stefanakis
Permalinkvol 83 - September 2013 - Special section : Towards intelligent geoprocessing on the web (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / International society for photogrammetry and remote sensing
PermalinkPermalinkvol 32 n°6 - November 2008 - Geocomputation: modeling with spatial agents (Bulletin de Computers, Environment and Urban Systems) / Suzana Dragićević
Permalinkvol 35 n° 2 - April 2008 - Modeling and visualisation for spatial decision support (Bulletin de Cartography and Geographic Information Science) / Cartography and geographic information society
PermalinkWeb cellular automata: forest fire modeling approach and prototype tool / S. Yassemi in Cartography and Geographic Information Science, vol 35 n° 2 (April 2008)
PermalinkIntegrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations / C. Bone in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)
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