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Road network generalization method constrained by residential areas / Zheng Lyu in ISPRS International journal of geo-information, vol 11 n° 3 (March 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 3 (March 2022) . - n° 159 Titre : Road network generalization method constrained by residential areas Type de document : Article/Communication Auteurs : Zheng Lyu, Auteur ; Qun Sun, Auteur ; Jingzhen Ma, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 159 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] 1:50.000 [Termes IGN] carte routière [Termes IGN] connexité (topologie) [Termes IGN] corrélation [Termes IGN] programmation par contraintes [Termes IGN] quartier [Termes IGN] réseau routier [Termes IGN] voisinage (relation topologique) [Termes IGN] zone (aménagement du territoire) [Vedettes matières IGN] Généralisation Résumé : (auteur) Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multiple features. However, existing road network generalization methods for mapping purposes do not fully consider residential areas. Compared with road networks, residential areas have a higher priority in cartographic generalization. In this regard, this study proposes a road network generalization method constrained by residential areas. First, the roads and settlements obtained from clustering residential areas were classified. Next, the importance of the settlements was evaluated and certain settlements were selected as the control features. Subsequently, a geographical network with the settlements as the nodes was built, and the traffic paths between adjacent settlements were searched. Finally, redundant paths between the settlements were simplified, and the visual continuity and topological connectivity were checked. The data of a 1:50,000 road network and residential areas were used as the experimental data. The experimental results demonstrated that the proposed method preserves the overall structure and relative density characteristics of the road network, as well as the geographical correlation between the road network and residential areas. Numéro de notice : A2022-184 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11030159 Date de publication en ligne : 22/02/2022 En ligne : https://doi.org/10.3390/ijgi11030159 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99890 [article]

Toward enhanced ecodesign of urban project thanks to City Information Modelling / Alexandre Mielniczek (2022)  

Public Titre : Toward enhanced ecodesign of urban project thanks to City Information Modelling Type de document : Article/Communication Auteurs : Alexandre Mielniczek, Auteur ; Charlotte Roux, Auteur ; Florence Jacquinod , Auteur Editeur : Paris : Ecole des Ingénieurs de la Ville de Paris EIVP Année de publication : 2022 Conférence : SETAC Europe 2022, 32nd Annual Meeting 16/05/2022 19/05/2022 Copenhague Danemark OA Abstracts only Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] quartier [Termes IGN] système d'information géographique [Termes IGN] urbanisme Résumé : (auteur) Environmental impacts are to be taken into account as early as possible in the design stages of urban projects so as to be able to select the most sustainable design. Nowadays, more and more district digital models, modelled according to BIM (building information modelling) standards and guidelines, are produced during the conception and construction of new or renewed districts. CIM can store data about buildings, underground utilities, roads, city furniture and vegetation (positioning, dimensions, materials and sometimes technical properties). Data about buildings are already used for LCA at the building scale (Marrero et al. 2020) and have been exploited at the district scale to evaluate impact of materials used for construction (Delval et al. 2018). A consequential approach (ie. evaluating environmental consequences of a change in the existing system, here the building stock or the city) could be considered as the most relevant for ecodesign objectives but is too rarely performed (Frischknecht et al. 2016; Roux 2020). Complementary data from CIM could be used to enhance consequential LCA at the district scale and simulate various scenarios (local climate conditions, shadow analysis from building morphology, impact of public spaces, roads and underground utilities, etc.). This induces a greater complexity as far as data modelling and processing are concerned. Research on urban analysis from CIM data has shed light on numerous issues to be tackled in order to be able to perform analysis at the district or city scale thanks to a CIM, including georeferencing, level of detail management, definition of specific entities and property sets and need for generalized entities (Deprêtre et Jacquinod 2021). Through this work, we aimed at identifying more precisely CIM data potential for consequential LCA at the district scale in order to propose new methods and processes and test them on case studies. A literature review is performed on eco-design and city information modelling aside with a review on existing city models. Main research potential to improve LCA of urban projects are identified and classified according to the goal and scope of the study. A first field case study is exposed and major drags and opportunities to district LCA are discussed in this specific case where an existing model has been developed without considering an eco-design objective. Numéro de notice : C2022-032 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE/URBANISME Nature : Poster nature-HAL : Poster-avec-CL DOI : sans En ligne : https://hal.science/hal-03673665 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101089

Understanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models / Tong Zhang in Transactions in GIS, vol 25 n° 6 (December 2021)  

Public [article]  inTransactions in GIS > vol 25 n° 6 (December 2021) . - pp 3025 - 3047 Titre : Understanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models Type de document : Article/Communication Auteurs : Tong Zhang, Auteur ; Jing Li, Auteur Année de publication : 2021 Article en page(s) : pp 3025 - 3047 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] apprentissage profond [Termes IGN] Colorado (Etats-Unis) [Termes IGN] données spatiotemporelles [Termes IGN] épidémie [Termes IGN] maladie virale [Termes IGN] mobilité territoriale [Termes IGN] modèle de simulation [Termes IGN] modélisation spatio-temporelle [Termes IGN] outil d'aide à la décision [Termes IGN] quartier [Termes IGN] réseau de transport [Termes IGN] risque sanitaire [Termes IGN] surveillance sanitaire Résumé : (Auteur) In order to find useful intervention strategies for the novel coronavirus (COVID-19), it is vital to understand how the disease spreads. In this study, we address the modeling of COVID-19 spread across space and time, which facilitates understanding of the pandemic. We propose a hybrid data-driven learning approach to capture the mobility-related spreading mechanism of infectious diseases, utilizing multi-sourced mobility and attributed data. This study develops a visual analytic approach that identifies and depicts the strength of the transmission pathways of COVID-19 between areal units by integrating data-driven deep learning and compartmental epidemic models, thereby engaging stakeholders (e.g., public health officials, managers from transportation agencies) to make informed intervention decisions and enable public messaging. A case study in the state of Colorado, USA was performed to demonstrate the applicability of the proposed transmission modeling approach in understanding the spatio-temporal spread of COVID-19 at the neighborhood level. Transmission path maps are presented and analyzed, demonstrating their utility in evaluating the effects of mitigation measures. In addition, integrated embeddings also support daily prediction of infected cases and role analysis of each area unit during the transmission of the virus. Numéro de notice : A2021-932 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12803 Date de publication en ligne : 16/07/2021 En ligne : https://doi.org/10.1111/tgis.12803 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99447 [article]

Identifying urban neighborhoods with higher potential for social investment using GIS-FIS approach / Hossein Aghajani in Applied geomatics, vol 13 n° 1 (May 2021)  

Public [article]  inApplied geomatics > vol 13 n° 1 (May 2021) . - pp 1 - 13 Titre : Identifying urban neighborhoods with higher potential for social investment using GIS-FIS approach Type de document : Article/Communication Auteurs : Hossein Aghajani, Auteur ; Ali Alizadeh-Zoeram, Auteur Année de publication : 2021 Article en page(s) : pp 1 - 13 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] ArcGIS [Termes IGN] distribution spatiale [Termes IGN] gestion urbaine [Termes IGN] Inférence floue [Termes IGN] Iran [Termes IGN] Matlab [Termes IGN] politique sociale [Termes IGN] processus de hiérarchisation analytique [Termes IGN] quartier [Termes IGN] système d'information géographique Résumé : (auteur) Today, participation in social investment is a critical concern of urban management in metropolitan areas. To be effective in both public and private sectors, such participation requires an accurate knowledge of geographical distribution of resources and social needs in different parts of the city in order to better manage these investments. To this end, the present research aimed at providing an objective and tangible integrated approach to identify urban neighborhoods with high potential for social investment. The research area was neighborhoods located in Mashhad, Iran. Thirty-one criteria in three dimensions of empowerment, education, and culture were identified. Having determined, normalized, and weighted the values of each criteria in different neighborhoods using the analytic hierarchy process (AHP) method, the weight scores of each neighborhood in each dimension were added up by GIS approach and Arc GIS 10.1 software. Then, in order to conclude the overall status of social investment in different neighborhoods, a fuzzy inference system (FIS) was designed in the MATLAB 2014a environment according to experts’ opinions. Finally, based on the output of the designed system, the overall status of each neighborhood studied was determined in terms of social investment and neighborhoods with high potential for social investment were identified. The approach presented provides an insight for urban mangers, companies, and philanthropic investors to invest more effectively given the appropriate social investment opportunities. Numéro de notice : A2021-236 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-020-00317-4 Date de publication en ligne : 27/05/2020 En ligne : https://doi.org/10.1007/s12518-020-00317-4 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97243 [article]

Learning from the informality. Using GIS tools to analyze the structure of autopoietic urban systems in the “smart perspective” / Valerio Di pinto in ISPRS International journal of geo-information, vol 10 n° 4 (April 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 4 (April 2021) . - n° 202 Titre : Learning from the informality. Using GIS tools to analyze the structure of autopoietic urban systems in the “smart perspective” Type de document : Article/Communication Auteurs : Valerio Di pinto, Auteur ; Antonio M. Rinaldi, Auteur ; Francesco Rossini, Auteur Année de publication : 2021 Article en page(s) : n° 202 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcGIS [Termes IGN] Manille (Philippines) [Termes IGN] morphologie urbaine [Termes IGN] paysage urbain [Termes IGN] planification urbaine [Termes IGN] quartier [Termes IGN] système d'information géographique [Termes IGN] urbanisme [Termes IGN] ville durable [Termes IGN] ville intelligente Résumé : (auteur) This paper explores the link between the current vision of the “smart city” and the notion of urban autopoiesis understood as self-organized/managed urban systems. It seeks to highlight how the use of GIS analysis, applied to the study of informal settlements, can provide useful information to understand the smart city paradigm. The paper argues the key idea that a smart city should not be seen only as a high-tech urban environment because the transition to smartness will need major changes in its inner structure. Using a combination of quantitative and qualitative GIS analysis methods, this study examines the case of the BaSECo Compound, one of the densest informal settlements in Metro Manila (Philippines), with the aim of both generating a comprehensive morphological analysis of this dynamic urban area as well as contributing to the configurational theory of the smart city. The results suggest that the analysis of autopoietic urban systems could expand our understanding of how the structure of the city could evolve to accommodate the needs of its citizens and creating more resilient and inclusive communities. Numéro de notice : A2021-478 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10040202 Date de publication en ligne : 25/03/2021 En ligne : https://doi.org/10.3390/ijgi10040202 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97422 [article]

The spatial structure of socioeconomic disadvantage: a Bayesian multivariate spatial factor analysis / Matthew Quick in International journal of geographical information science IJGIS, vol 35 n° 1 (January 2021)  

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Delineating and modeling activity space using geotagged social media data / Lingqian Hu in Cartography and Geographic Information Science, vol 47 n° 3 (May 2020)  

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Prototype de viewer web 3D intégrant le BIM au SIG / Axel Chassard (2020) 

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Deep mapping gentrification in a large Canadian city using deep learning and Google Street View / Lazar Ilic in Plos one, vol 14 n° 3 (March 2019)  

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Geovisualisation as a process of creating complementary visualisations: static two-dimensional, surface three-dimensional, and interactive / Tymoteusz Horbiński in Geodesy and cartography, vol 66 n° 1 (June 2017)  

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Mesurer l'enclavement dans les espaces urbains à l'aide d'un système d'information géographique : application aux territoires de la politique de la ville / Anna Cristofol (2017)  

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The impact of planning on pedestrian movement: contrasting pedestrian movement models in pre-modern and modern neighborhoods in Israel / Itzhak Omer in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)  

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La restitution archéologique 3D pour valoriser, comprendre ou expérimenter l'exemple de la Rome antique / Sophie Madeleine in XYZ, n° 138 (mars - mai 2014) 

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Création de l'application "envirONS" pour l'étude des quartiers d'Ottawa / Thibault Fontmarty (2013) 

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Topographie et climatologie urbaine / G. Najjar in XYZ, n° 123 (juin - août 2010)

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