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Formal representation of qualitative direction / Christian Freksa in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 11-12 (November - December 2018) . - pp 2514 - 2534 Titre : Formal representation of qualitative direction Type de document : Article/Communication Auteurs : Christian Freksa, Auteur ; Jasper van de Ven, Auteur ; Diedrich Wolter, Auteur Année de publication : 2018 Article en page(s) : pp 2514 - 2534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] direction [Termes descripteurs IGN] raisonnement spatial [Termes descripteurs IGN] représentation cartographique [Termes descripteurs IGN] représentation spatiale [Termes descripteurs IGN] traitement de données localisées Résumé : (Auteur) This paper reviews formal approaches to representing spatial knowledge about qualitative direction. Unlike geometric direction information, qualitative information does not employ numerical values but relies on comparison. The qualitative approach is often regarded as suitable for capturing commonsense concepts and thus is relevant to human-centered interfaces for spatial information systems. To establish a context for the work on qualitative direction, we preset a brief history of the development of qualitative temporal and spatial representations from different scientific perspectives. We identify main focal areas of these representations of spatial direction and propose a taxonomy. In the light of more than three decades of fruitful research, we obtain a map of formal representations that reveal interrelationships between different research strands in the field. Numéro de notice : A2018-528 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1420794 date de publication en ligne : 25/01/2018 En ligne : https://doi.org/10.1080/13658816.2017.1420794 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91366 [article]

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A topology-preserving polygon rasterization algorithm / Chen Zhou in Cartography and Geographic Information Science, Vol 45 n° 6 (November 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 6 (November 2018) . - pp 495 - 509 Titre : A topology-preserving polygon rasterization algorithm Type de document : Article/Communication Auteurs : Chen Zhou, Auteur ; Dingmou Li, Auteur ; Ningchuan Xiao, Auteur ; Zhenjie Chen, Auteur ; Xiang Li, Auteur ; Manchun Li, Auteur Année de publication : 2018 Article en page(s) : pp 495 - 509 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] données vectorielles [Termes descripteurs IGN] polygone [Termes descripteurs IGN] rastérisation [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] traitement de données localisées Résumé : (Auteur) Conventional algorithms for polygon rasterization are typically designed to maintain non-topological characteristics. Consequently, topological relationships, such as the adjacency between polygons, may also be lost or altered, creating topological errors. This paper proposes a topology-preserving polygon rasterization algorithm to avoid topological errors. Four types of topological error may occur during polygon rasterization. The algorithm starts from an initial polygon rasterization and uses a set of preserving strategies to increase topological accuracy. The count of the four types of error measures the topological errors of the conversion. Topological accuracy is summarized as 1 minus the ratio of actual topological errors to the total number of possible error cases. When applied to a land-use dataset with a data volume of 128 MB, 127,836 polygons, and extending 1352 km2, the algorithm achieves a topological accuracy of more than 99% when raster cell size is 30 m or smaller (100% for 5 and 10 m). The effects of cell size, polygon shape, and number of iterations on topological accuracy are also examined. Numéro de notice : A2018-473 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1401488 date de publication en ligne : 21/11/2017 En ligne : https://doi.org/10.1080/15230406.2017.1401488 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91256 [article]

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Algorithm of land cover spatial data processing for the local flood risk mapping / Monika Siejka in Survey review, vol 50 n° 362 (August 2018)  

Public [article]  inSurvey review > vol 50 n° 362 (August 2018) . - pp 397 - 403 Titre : Algorithm of land cover spatial data processing for the local flood risk mapping Type de document : Article/Communication Auteurs : Monika Siejka, Auteur ; Monika Mika, Auteur ; Tomasz Salata, Auteur ; Przemysław Leń, Auteur Année de publication : 2018 Article en page(s) : pp 397 - 403 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] cours d'eau [Termes descripteurs IGN] inondation [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] traitement de données localisées Résumé : (Auteur) Floods are a natural phenomenon that has always been and will pose a threat to people’s life and health, their property and the environment. Total elimination of the flood is impossible, but the current state of knowledge enables the use of the available tools in order to reduce the scale of these threats. The aim of the study is to develop a methodology of identification of the areas of hindered flow of water, located in the immediate vicinity of rivers. The proposed methodology is based on a study of the land cover. The developed algorithm of land cover spatial data processing for the local flood risk mapping implements GIS tools. Verification of the developed method was carried out on the example of selected rivers in Poland, only one of which is covered by the plans of flood risk management and causes periodic floodings. Numéro de notice : A2018-446 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2017.1287620 date de publication en ligne : 22/02/2017 En ligne : https://doi.org/10.1080/00396265.2017.1287620 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91031 [article]

Historical collaborative geocoding / Rémi Cura in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)    

Public [article]  inISPRS International journal of geo-information > vol 7 n° 7 (July 2018) Titre : Historical collaborative geocoding Type de document : Article/Communication Auteurs : Rémi Cura, Auteur ; Bertrand Duménieu , Auteur ; Nathalie Abadie , Auteur ; Benoit Costes , Auteur ; Julien Perret , Auteur ; Maurizio Gribaudi, Auteur Année de publication : 2018 Projets : Belle Epoque / Riva, Angelo Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] géocodage [Termes descripteurs IGN] géocodage par adresse postale [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] interface web [Termes descripteurs IGN] jeu de données [Termes descripteurs IGN] objet géohistorique [Termes descripteurs IGN] Paris (75) [Termes descripteurs IGN] répertoire toponymique [Termes descripteurs IGN] science citoyenne [Termes descripteurs IGN] sciences humaines numériques [Termes descripteurs IGN] traitement de données localisées Résumé : (auteur) The latest developments in the field of digital humanities have increasingly enabled the construction of large data sets which can be easily accessed and used. These data sets often contain indirect spatial information, such as historical addresses. Historical geocoding is the process of transforming indirect spatial information into direct locations which can be placed on a map, thus allowing for spatial analysis and cross-referencing. There are many geocoders that work efficiently for current addresses. However, these do not tackle temporal information, and usually follow a strict hierarchy (country, city, street, house number, etc.) which is difficult—if not impossible—to use with historical data. Historical data is filled with uncertainty (pertaining to temporal, textual, and positional accuracy, as well as to the reliability of historical sources) which can neither be ignored nor entirely resolved. Our open source, open data, and extensible solution for geocoding is based on extracting a large number of simple gazetteers composed of geohistorical objects, from historical maps. Geocoding a historical address becomes the process of finding one or several geohistorical objects in the gazetteers which best match the historical address searched by the user. The matching criteria are customisable, weighted, and include several dimensions (fuzzy string, fuzzy temporal, level of detail, positional accuracy). Since our goal is to facilitate historical work, we also put forward web-based user interfaces which help geocode (one address or batch mode) and display results over current or historical maps. Geocoded results can then be checked and edited collaboratively (no source is modified). The system was tested on the city of Paris, France, for the 19th and 20th centuries. It showed high response rates and worked quickly enough to be used interactively. Numéro de notice : A2018-389 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7070262 date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.3390/ijgi7070262 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90804 [article]

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EPLA: efficient personal location anonymity / Dapeng Zhao in Geoinformatica [en ligne], vol 22 n° 1 (January 2018)  

Public [article]  inGeoinformatica [en ligne] > vol 22 n° 1 (January 2018) . - pp 29 - 47 Titre : EPLA: efficient personal location anonymity Type de document : Article/Communication Auteurs : Dapeng Zhao, Auteur ; Yuanyuan Jin, Auteur ; Kai Zhang, Auteur ; Xiaoling Wang, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 29 - 47 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] anonymisation [Termes descripteurs IGN] données issues des réseaux sociaux [Termes descripteurs IGN] estimation par noyau [Termes descripteurs IGN] protection de la vie privée [Termes descripteurs IGN] service fondé sur la position [Termes descripteurs IGN] traitement de données localisées Résumé : (auteur) A lot of researchers utilize side-information, such as the map which is likely to be exploited by some attackers, to protect users’ location privacy in location-based service (LBS). However, current technologies universally model the side-information for all users and don’t distinguish different users. We argue that the side-information is personal for every user. In this paper, we propose an efficient method, namely EPLA, to protect the users’ privacy using visit probability. We select the dummy locations to achieve k-anonymity according to personal visit probability for users’ queries. In EPLA, we use AKDE(Approximate Kernel Density Estimate), which greatly reduces the computational complexity compared with KDE approach. We conduct the comprehensive experimental study on the two real Gowalla and Foursqure data sets and the experimental results show that EPLA obtains fine privacy performance and low computation complexity. Numéro de notice : A2018-022 Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-017-0303-4 En ligne : https://doi.org/10.1007/s10707-017-0303-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89170 [article]

Développement d’une base de données géographique régionale avec des outils open source / Valerio Baiocchi in Géomatique expert, n° 120 (janvier - février 2018)

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Convolutional neural network for traffic signal inference based on GPS traces / Yann Méneroux (2018) 

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Detection and localization of traffic signals with GPS floating car data and Random Forest / Yann Méneroux (2018)    

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Preserving the Geographical Production Process [workshops reports] / Rink W. Kruk (2018)  

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Systèmes d'information géographique / Yves Auda (2018)

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Toponym matching through deep neural networks / Rui Santos in International journal of geographical information science IJGIS, vol 32 n° 1-2 (January - February 2018)  

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An iterative method for obtaining a mean 3D axis from a set of GNSS traces for use in positional controls / A. Mozas-Calvache in Survey review, vol 49 n° 355 (October 2017)  

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An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings / Sergio J. Rey in Transactions in GIS, vol 21 n° 4 (August 2017)  

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On the visibility locations for continuous curves / Sarang Joshi in Computers and graphics, vol 66 (August 2017)  

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On visibility and empty-region graphs / Sagi Katz in Computers and graphics, vol 66 (August 2017)  

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