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Point-of-interest detection from Weibo data for map updating / Xue Yang in Transactions in GIS, vol 26 n° 6 (September 2022)  

Public [article]  inTransactions in GIS > vol 26 n° 6 (September 2022) . - pp 2716 - 2738 Titre : Point-of-interest detection from Weibo data for map updating Type de document : Article/Communication Auteurs : Xue Yang, Auteur ; Jie Gao, Auteur ; Xiaoyun Zheng, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 2716 - 2738 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] commerce de détail [Termes IGN] détection automatique [Termes IGN] détection de changement [Termes IGN] données issues des réseaux sociaux [Termes IGN] géocodage [Termes IGN] inférence [Termes IGN] information sémantique [Termes IGN] mise à jour cartographique [Termes IGN] point d'intérêt [Termes IGN] Wuhan (Chine) Résumé : (auteur) Points-of-interest (POIs) geographic information system data are increasingly important for supporting map generation and navigation services, although updating their semantic and location information still largely depends on manual labor. In this study, we propose a novel method to automatically detect the changes in POIs from Chinese text and check-in position data provided by the Chinese social media platform, Weibo. The proposed method includes three steps: (1) POI name recognition; (2) location confirmation; (3) and change detection. First, we propose recognizing a POI's name from Weibo text using the improved conditional random field algorithm. Then, we detect the location of each named POI by integrating the text address with the check-in position. The changes in the detected POIs are recognized by extracting the status words from Weibo text and a three-level status word database. To verify the effectiveness of the proposed method, we examine Wuhan as a case and detect the changes in the commercial POI using real-world Weibo data collected from January to September 2020. Based on the validation of three common map platforms, the data provided and the manual field investigation of 55 random samples, the identification accuracies for newly added POIs, the unchanged POIs, and expired POIs are approximately 100, 95.8, and 91.7%, respectively. Numéro de notice : A2022-734 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.12982 Date de publication en ligne : 04/09/2022 En ligne : https://doi.org/10.1111/tgis.12982 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101701 [article]

Automatic classification of retail spaces from a large scale topographic database / William A Mackaness in Transactions in GIS, vol 15 n° 3 (July 2011)  

Public [article]  inTransactions in GIS > vol 15 n° 3 (July 2011) . - pp 291 - 307 Titre : Automatic classification of retail spaces from a large scale topographic database Type de document : Article/Communication Auteurs : William A Mackaness, Auteur ; Omair Chaudhry, Auteur Année de publication : 2011 Article en page(s) : pp 291 - 307 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] base de données topographiques [Termes IGN] classification automatique [Termes IGN] classification bayesienne [Termes IGN] classification floue [Termes IGN] commerce de détail [Termes IGN] grande échelle Résumé : (Auteur) There is considerable interest in understanding the distribution patterns of different types of retail space, over time, and doing so at a national scale. Yet a lack of suitable data, coupled with poor classification schemas, has stymied efforts to create such a national perspective. This research reports on metrics and classification methodologies that have been applied to large scale topographic data, that afford a systematic classification of certain retail spaces potentially at the national coverage. By analysing the form, composition, extent and patterns of buildings within retail spaces, together with their degree of centrality and levels of access, we demonstrate that it is possible to classify different types of retail space. The research illustrates the utility of fine scale topographic data beyond mere mapping. The article compares three methodologies used for classification (Boolean, fuzzy logic and Bayesian modelling) and evaluates them through comparison with known locations of various retail types as a way of assessing the validity of these approaches. The quality of the results are good, though the work highlights the inconsistency in definitions that currently exist – reflecting, as much as anything, the shifting sands of definitions of various retail spaces that ebb and flow according to consumer needs, and the ambitions of urban planners. Numéro de notice : A2011-225 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01259.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1467-9671.2011.01259.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31003 [article]

Retail GIS: more than just pretty maps / T. Hernandez in GeoEurope, vol 9 n° 4 (01/04/2000)

Public [article]  inGeoEurope > vol 9 n° 4 (01/04/2000) . - pp 16 - 18 Titre : Retail GIS: more than just pretty maps Type de document : Article/Communication Auteurs : T. Hernandez, Auteur ; A. Verrips, Auteur Année de publication : 2000 Article en page(s) : pp 16 - 18 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] Canada [Termes IGN] commerce de détail [Termes IGN] Grande-Bretagne [Termes IGN] Pays-Bas [Termes IGN] système d'information géographique Résumé : (Documentaliste) Une étude menée conjointement au Canada, aux Pays Bas et en Grande Bretagne auprès du commerce de détail, montre comment sont utilisés les SIG dans ce domaine. Numéro de notice : A2000-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21465 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
066-00041	RAB	Revue	Centre de documentation	En réserve L003	Disponible