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Street-Frontage-Net: urban image classification using deep convolutional neural networks / Stephen Law in International journal of geographical information science IJGIS, vol 34 n° 4 (April 2020)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 34 n° 4 (April 2020) . - pp 681- 707 Titre : Street-Frontage-Net: urban image classification using deep convolutional neural networks Type de document : Article/Communication Auteurs : Stephen Law, Auteur ; Chanuki Illushka Seresinhe, Auteur ; Yao Shen, Auteur Année de publication : 2020 Article en page(s) : pp 681- 707 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] apprentissage profond [Termes descripteurs IGN] classification par réseau neuronal convolutif [Termes descripteurs IGN] espace public [Termes descripteurs IGN] évaluation foncière [Termes descripteurs IGN] extraction de données [Termes descripteurs IGN] façade [Termes descripteurs IGN] habitat urbain [Termes descripteurs IGN] image Streetview [Termes descripteurs IGN] immobilier (secteur) [Termes descripteurs IGN] information géographique [Termes descripteurs IGN] Londres [Termes descripteurs IGN] matrice de confusion [Termes descripteurs IGN] Paris (75) [Termes descripteurs IGN] paysage urbain [Termes descripteurs IGN] urbanisme [Termes descripteurs IGN] vision par ordinateur Résumé : (auteur) Quantifying aspects of urban design on a massive scale is crucial to help develop a deeper understanding of urban designs elements that contribute to the success of a public space. In this study, we further develop the Street-Frontage-Net (SFN), a convolutional neural network (CNN) that can successfully evaluate the quality of street frontage as either being active (frontage containing windows and doors) or blank (frontage containing walls, fences and garages). Small-scale studies have indicated that the more active the frontage, the livelier and safer a street feels. However, collecting the city-level data necessary to evaluate street frontage quality is costly. The SFN model uses a deep CNN to classify the frontage of a street. This study expands on the previous research via five experiments. We find robust results in classifying frontage quality for an out-of-sample test set that achieves an accuracy of up to 92.0%. We also find active frontages in a neighbourhood has a significant link with increased house prices. Lastly, we find that active frontage is associated with more scenicness compared to blank frontage. While further research is needed, the results indicate the great potential for using deep learning methods in geographic information extraction and urban design. Numéro de notice : A2020-110 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1555832 date de publication en ligne : 26/12/2018 En ligne : https://doi.org/10.1080/13658816.2018.1555832 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94712 [article]

Conciliating perspectives from mapping agencies and web of data on successful European SDIs: toward a European geographic knowledge graph / Bénédicte Bucher in ISPRS International journal of geo-information, vol 9 n° 2 (February 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 2 (February 2020) . - 23 p. Titre : Conciliating perspectives from mapping agencies and web of data on successful European SDIs: toward a European geographic knowledge graph Type de document : Article/Communication Auteurs : Bénédicte Bucher , Auteur ; Esa Tiainen, Auteur ; Thomas Ellett von Brasch, Auteur ; Paul Janssen, Auteur ; Dimitris Kotzinos, Auteur ; Marjan Ceh, Auteur ; Martijn Rijsdijk, Auteur ; Marie-Dominique Van Damme , Auteur ; Mehdi Zhral, Auteur Année de publication : 2020 Projets : URCLIM / Bucher, Bénédicte Article en page(s) : 23 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] cartographe [Termes descripteurs IGN] données ouvertes [Termes descripteurs IGN] graphique [Termes descripteurs IGN] harmonisation des données [Termes descripteurs IGN] hétérogénéité sémantique [Termes descripteurs IGN] infrastructure européenne de données localisées [Termes descripteurs IGN] INSPIRE [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] organisme cartographique national [Termes descripteurs IGN] Web des données [Termes descripteurs IGN] web sémantique Résumé : (auteur) Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists working on the Web of Data on the other. During several workshops organized by the EuroSDR and Eurogeographics organizations, the authors analyzed their complementarity and discovered reasons for the difficult collaboration between these communities. They have different and sometimes conflicting perspectives on what successful SDIs should look like, as well as on priorities. We developed a proposal to integrate both perspectives, which is centered on the elaboration of an open European Geographical Knowledge Graph. Its structure reuses results from the literature on geographical information ontologies. It is associated with a multifaceted roadmap addressing interrelated aspects of SDIs. Numéro de notice : A2020-054 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9020062 date de publication en ligne : 21/01/2020 En ligne : https://doi.org/10.3390/ijgi9020062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94537 [article]

Semantic relatedness algorithm for keyword sets of geographic metadata / Zugang Chen in Cartography and Geographic Information Science, vol 47 n° 2 (February 2020)  

Public [article]  inCartography and Geographic Information Science > vol 47 n° 2 (February 2020) . - pp 125 - 140 Titre : Semantic relatedness algorithm for keyword sets of geographic metadata Type de document : Article/Communication Auteurs : Zugang Chen, Auteur ; Yaping Yang, Auteur Année de publication : 2020 Article en page(s) : pp 125 - 140 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] descripteur [Termes descripteurs IGN] Infrastructure de données [Termes descripteurs IGN] internet interactif [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] relation sémantique [Termes descripteurs IGN] similitude sémantique [Termes descripteurs IGN] système à base de connaissances [Termes descripteurs IGN] terminologie [Termes descripteurs IGN] thesaurus Résumé : (auteur) Advances in linked geospatial data, recommender systems, and geographic information retrieval have led to urgent necessity to assess the overall semantic relatedness between keyword sets of geographic metadata. In this study, a new model is proposed for computing the semantic relatedness between arbitrary two keyword sets of geographic metadata stored in current global spatial data infrastructures. In this model, the overall semantic relatedness is derived by pairing these keywords that are found to be most relevant to each other and averaging their relatedness. To find the most relevant keywords across two keyword sets precisely, the keywords in the keyword set of geographic metadata are divided into three kinds: the thesaurus elements, the WordNet elements, and the statistical elements. The thesaurus-lexical relatedness measure (TLRM), the extended thesaurus-lexical relatedness measure (ETLRM), and the Longest Common Substring method are proposed to compute the semantic relatedness between two thesaurus elements, two WordNet elements, a thesaurus element, and a WordNet element and two statistical elements, respectively. A human data set – the geographic-metadata’s keyword set relatedness dataset, which was used to evaluate the precision of the semantic relatedness measures of keyword sets of geographic metadata, was created. The proposed method was evaluated against the human-generated relatedness judgments and was compared with the Jaccard method and Vector Space Model. The results demonstrated that the proposed method achieved a high correlation with human judgments and outperformed the existing methods. Finally, the proposed method was applied to quantitatively linked geospatial data. Numéro de notice : A2020-057 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1647797 date de publication en ligne : 20/09/2017 En ligne : https://doi.org/10.1080/15230406.2019.1647797 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94573 [article]

Individual internet usage and the availability of online content of local interest: A multilevel approach / Emmanouil Tranos in Computers, Environment and Urban Systems, vol 79 (January 2020)  

Public [article]  inComputers, Environment and Urban Systems > vol 79 (January 2020) Titre : Individual internet usage and the availability of online content of local interest: A multilevel approach Type de document : Article/Communication Auteurs : Emmanouil Tranos, Auteur ; Chrisotph Stich, Auteur Année de publication : 2020 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information [Termes descripteurs IGN] accès aux données localisées [Termes descripteurs IGN] cognition [Termes descripteurs IGN] diffusion par internet [Termes descripteurs IGN] moteur de recherche [Termes descripteurs IGN] observation multiniveaux [Termes descripteurs IGN] site web [Termes descripteurs IGN] système d'archivage [Termes descripteurs IGN] toile d'araignée mondiale Résumé : (Auteur) This paper illustrates whether the availability of online content of local interest affects the likelihood of individuals to connect to the internet and spend more time online. While the literature demonstrates a number of factors which push or enable individuals to spend more time online, we know little about the conditions that pull or attract individuals online. Although we know that individuals use the internet to access information, we do not know whether such attraction forces are relevant at the local scale too. Gaining a better understanding of how such mechanisms work at the local scale can assist our efforts to bridge digital divides, which tend to be geographically clustered. To explore this we utilise innovative data, which contain all the archived webpages under the UK top level domain name (.uk) and we calculate the volume of internet content of local interest at the neighbourhood level using the geolocation information included in the text of these webpages. Specifically, we calculate the radius of gyration for every archived website using the different postcodes included in the archived webpages and then we create an aggregated measure at the neighbourhood level discounting websites that have less of a local focus. We merge this measure of Local Internet Content (LIC) with a large population survey, which contains information about the frequency of internet usage in the UK and estimate the effect of LIC on the likelihood of an individual being a frequent internet user. Multilevel models are employed to utilise both individual and geographical level characteristics. Our results indicate that even after controlling for the individual and geographical characteristics, which according to previous studies affect internet usage, the availability of internet content of local interest still attracts individuals online. Numéro de notice : A2020-001 Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2019.101371 date de publication en ligne : 18/09/2019 En ligne : https://doi.org/10.1016/j.compenvurbsys.2019.101371 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93620 [article]

Measuring differential access to facilities between population groups using spatial Lorenz curves and related indices / Gordon A. Cromley in Transactions in GIS, Vol 23 n° 6 (November 2019)  

Public [article]  inTransactions in GIS > Vol 23 n° 6 (November 2019) . - pp 1332 - 1351 Titre : Measuring differential access to facilities between population groups using spatial Lorenz curves and related indices Type de document : Article/Communication Auteurs : Gordon A. Cromley, Auteur Année de publication : 2019 Article en page(s) : pp 1332 - 1351 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] accessibilité [Termes descripteurs IGN] coefficient de Gini [Termes descripteurs IGN] commerce [Termes descripteurs IGN] courbe de Lorenz [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] équipement collectif [Termes descripteurs IGN] inégalité [Termes descripteurs IGN] Ohio (Etats-Unis) [Termes descripteurs IGN] population [Termes descripteurs IGN] segmentation [Termes descripteurs IGN] service public [Termes descripteurs IGN] sociologie [Termes descripteurs IGN] système d'information géographique Résumé : (auteur) Access to certain types of facilities can promote health and well‐being. When population and facilities are not uniformly distributed across the landscape, inequities in accessibility may occur. Current research into GIS‐based accessibility measures has focused primarily on spatial inequities between different geographic locations but not directly on differences in accessibility between subgroups of the population. The research presented here develops a new method for measuring differential accessibility to facilities between various segments of the population. The method extends concepts and techniques in spatial point pattern analysis that account for the spatial structure of demand and its relationship to supply. In this approach, the traditional Lorenz curve and its associated indices, the Gini coefficient and the dissimilarity index, which are used to measure inequality, are recast in spatial terms for measuring differences in accessibility between population subgroups. An analysis of spatial accessibility to grocery stores in Akron, OH illustrates the value of the spatial Lorenz curve and its associated indices compared to other methods. Numéro de notice : A2019-567 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12577 date de publication en ligne : 06/10/2019 En ligne : https://onlinelibrary.wiley.com/doi/10.1111/tgis.12577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94419 [article]

Volunteered geographic information systems: Technological design patterns / Jose Pablo Gómez‐Barrón in Transactions in GIS, Vol 23 n° 5 (October 2019)  

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Computing and querying strict, approximate, and metrically refined topological relations in linked geographic data / Blake Regalia in Transactions in GIS, vol 23 n° 3 (June 2019)  

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Deeply integrating linked data with geographic information systems / Gengchen Mai in Transactions in GIS, vol 23 n° 3 (June 2019)  

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Audiovisual cartography : Established and new multimedia approaches to represent soundscapes / Dennis Edler in KN, Journal of Cartography and Geographic Information, vol 69 n° 1 (May 2019)  

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Développer l’Afrique, grâce au recensement des stations GNSS permanentes / Derrick Koome in XYZ, n° 158 (mars 2019)

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Le nivellement de Saint-Germain-en-Laye / Alain Coulomb in XYZ, n° 158 (mars 2019)

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A framework for connecting two interoperability universes: OGC Web Feature Services and Linked Data / Luis Vilches-Blazquez in Transactions in GIS, vol 23 n° 1 (February 2019)  

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Cartographie et journalisme / Camille Bressange (2019)

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Challenging deep image descriptors for retrieval in heterogeneous iconographic collections / Dimitri Gominski (2019)  

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Contribution au développement d’une plateforme web d’analyse réglementaire et de gestion des vols de drones / Yassmine Boudili (2019) 

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