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A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation / Kevin Sparks in International journal of geographical information science IJGIS, vol 34 n° 4 (April 2020)
[article]
Titre : A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation Type de document : Article/Communication Auteurs : Kevin Sparks, Auteur ; Gautam Thakur, Auteur ; Amol Pasarkar, Auteur ; Marie Urban, Auteur Année de publication : 2020 Article en page(s) : pp 759 - 776 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse spatio-temporelle
[Termes IGN] climat urbain
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] coutume
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] démographie
[Termes IGN] données géophysiques
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] estimation quantitative
[Termes IGN] ethnologie
[Termes IGN] géographie sociale
[Termes IGN] gestion urbaine
[Termes IGN] milieu urbain
[Termes IGN] modèle dynamique
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] point d'intérêt
[Termes IGN] réseau social
[Termes IGN] trace numériqueRésumé : (auteur) The temporal nature of humans interaction with Points of Interest (POIs) in cities can differ depending on place type and regional location. Times when many people are likely to visit restaurants (place type) in Italy, may differ from times when many people are likely to visit restaurants in Lebanon (i.e. regional differences). Geosocial data are a powerful resource to model these temporal differences in cities, as traditional methods used to study cross-cultural differences do not scale to a global level. As cities continue to grow in population and economic development, research identifying the social and geophysical (e.g., climate) factors that influence city function remains important and incomplete. In this work, we take a quantitative approach, applying dynamic time warping and hierarchical clustering on temporal signatures to model geosocial temporal patterns for Retail and Restaurant Facebook POIs hours of operation for more than 100 cities in 90 countries around the world. Results show cities’ temporal patterns cluster to reflect the cultural region they represent. Furthermore, temporal patterns are influenced by a mix of social and geophysical factors. Trends in the data suggest social factors influence unique drops in temporal signatures, and geophysical factors influence when daily temporal patterns start and finish. Numéro de notice : A2020-294 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1615069 Date de publication en ligne : 04/06/2019 En ligne : https://doi.org/10.1080/13658816.2019.1615069 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95126
in International journal of geographical information science IJGIS > vol 34 n° 4 (April 2020) . - pp 759 - 776[article]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)
[article]
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 IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] espace public
[Termes IGN] évaluation foncière
[Termes IGN] extraction de données
[Termes IGN] façade
[Termes IGN] habitat urbain
[Termes IGN] image Streetview
[Termes IGN] immobilier (secteur)
[Termes IGN] information géographique
[Termes IGN] Londres
[Termes IGN] matrice de confusion
[Termes IGN] Paris (75)
[Termes IGN] paysage urbain
[Termes IGN] urbanisme
[Termes IGN] vision par ordinateurRésumé : (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 Affiliation des auteurs : non IGN 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
in International journal of geographical information science IJGIS > vol 34 n° 4 (April 2020) . - pp 681- 707[article]Comparison and analysis of results of 3D modelling of complex cultural and historical objects using different types of terrestrial laser scanner / Admir Mulahusic in Survey review, vol 52 n° 371 (March 2020)
[article]
Titre : Comparison and analysis of results of 3D modelling of complex cultural and historical objects using different types of terrestrial laser scanner Type de document : Article/Communication Auteurs : Admir Mulahusic, Auteur ; Nedim Tuno, Auteur ; Dubravko Gajski, Auteur ; Jusuf Topoljak, Auteur Année de publication : 2020 Article en page(s) : pp 107-114 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] balayage laser
[Termes IGN] Croatie
[Termes IGN] impulsion laser
[Termes IGN] logiciel de reconstruction 3D
[Termes IGN] modélisation 3D
[Termes IGN] monument historique
[Termes IGN] patrimoine culturel
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] télémétrie laser terrestre
[Termes IGN] traitement de donnéesRésumé : (auteur) Laser scanning does not provide unlimited geometrical accuracy and integrity when scanning complex objects. Scanning systems have a minimum and maximum range in which they operate, depending on the technical characteristics. Scanning below or above these limits results in gross errors and registering of incorrect data. Laser scanners can have difficulties with certain materials such as marble and reflective surfaces. This paper presents the results of laser scanning of a complex monument of cultural and historical heritage using two different types of terrestrial laser scanners. Afterwards, the comparison and analysis of the results are shown. The scanners used were terrestrial laser scanners Faro Focus 3D (phase mode distance measurements) and STONEX X300 (pulse mode distance measurements). Numéro de notice : A2020-073 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1528758 Date de publication en ligne : 09/10/2018 En ligne : https://doi.org/10.1080/00396265.2018.1528758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94638
in Survey review > vol 52 n° 371 (March 2020) . - pp 107-114[article]Development and application of an intelligent modeling method for ancient wooden architecture / Yonghui Jiang in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)
[article]
Titre : Development and application of an intelligent modeling method for ancient wooden architecture Type de document : Article/Communication Auteurs : Yonghui Jiang, Auteur ; Aiqun Li, Auteur ; Linlin Xie, Auteur Année de publication : 2020 Article en page(s) : 19 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Architecture
[Termes IGN] architecture orientée modèle
[Termes IGN] Chine
[Termes IGN] conservation du patrimoine
[Termes IGN] histoire
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] monument historique
[Termes IGN] patrimoine culturel
[Termes IGN] patrimoine immobilier
[Termes IGN] reconstruction 3D du bâtiRésumé : (auteur) Building-information-modeling for cultural heritage (HBIM), which is established using surveying data, can be used to conserve architectural heritage. The development of an HBIM model for ancient wooden architecture (AWA) structures requires interdisciplinary integration. A parametric model for the main components that intelligently integrates the historical knowledge, as well as an intelligent modeling method for these components, are two critical issues required to bridge the existing gap and improve the application of HBIM. Taking an AWA structure constructed during the Liao and Song Dynasties as an example, the parametric model for the typical components, with emphasis on commonality and characteristics, were first proposed. Subsequently, an intelligent automated modeling method was developed and programmed using Dynamo, which can intelligently identify the component type and determine the invisible dimensions. A complicated dou-gong was successfully established with surveying data using the proposed method within five minutes, thereby validating the reliability and efficiency of this method. Furthermore, the proposed method was used to establish the HBIM model of Yingxian Wood Pagoda, which is the oldest and tallest AWA structure in China with a height of 65.88 m. The research findings will provide an essential reference for the conservation of wooden architectural heritage structures. Numéro de notice : A2020-258 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9030167 En ligne : https://doi.org/10.3390/ijgi9030167 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95015
in ISPRS International journal of geo-information > vol 9 n° 3 (March 2020) . - 19 p.[article]10th Colour and Visual Computing Symposium 2020 (CVCS 2020), Gjøvik, Norway, and Virtual, September 16-17, 2020 / Jean-Baptiste Thomas (2020)
Titre : 10th Colour and Visual Computing Symposium 2020 (CVCS 2020), Gjøvik, Norway, and Virtual, September 16-17, 2020 : Proceedings Type de document : Actes de congrès Auteurs : Jean-Baptiste Thomas, Éditeur scientifique Editeur : Gjøvik [Norvège] : Norwegian University of Science and Technology Année de publication : 2020 Conférence : CVCS 2020, Colour and Visual Computing Symposium 16/09/2020 17/09/2020 Gjøvik et en ligne Norvège Open Access Proceedings Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] analyse visuelle
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] couleur (variable spectrale)
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] imagerie médicale
[Termes IGN] luminance lumineuse
[Termes IGN] peinture
[Termes IGN] photographieNuméro de notice : 25892 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Actes En ligne : http://ceur-ws.org/Vol-2688/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96006 Analyse spatio-temporelle des mobilités de randonneurs dans le PNR du Massif des Bauges / Colin Kerouanton (2020)PermalinkContribution à la segmentation et à la modélisation 3D du milieu urbain à partir de nuages de points / Tania Landes (2020)PermalinkCreating a web mapping portal to manage Malta’s underwater cultural heritage / Mélissa Dupuis (2020)PermalinkPermalinkGeoreferenced measurements of building objects with their simultaneous shape detection / Edward Osada in Survey review, Vol 52 n°370 (January 2020)PermalinkPermalinkPermalinkHuman Geography, Indigenous Mapping, and the US Military: A Response to Kelly and Others’ “From Cognitive Maps to Transparent Static Web Maps” / Joel Wainwright in Cartographica, vol 54 n° 4 (Winter 2019)PermalinkMapping urban fingerprints of odonyms automatically extracted from French novels / Ludovic Moncla in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)PermalinkNumérisation, restitution et visualisation en 3D de sites patrimoniaux / Jonathan Chemla in XYZ, n° 161 (décembre 2019)Permalink