Centre de documentation
scientifique

Evaluating the effectiveness of different cartographic design variants for influencing route choice / Stefan Fuest in Cartography and Geographic Information Science, vol 48 n° 2 (March 2021)  

Public [article]  inCartography and Geographic Information Science > vol 48 n° 2 (March 2021) . - pp 169 - 185 Titre : Evaluating the effectiveness of different cartographic design variants for influencing route choice Type de document : Article/Communication Auteurs : Stefan Fuest, Auteur ; Susanne Grüner, Auteur ; Mark Vollrath, Auteur ; Monika Sester, Auteur Année de publication : 2021 Article en page(s) : pp 169 - 185 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] comportement [Termes IGN] conception cartographique [Termes IGN] convivialité [Termes IGN] itinéraire [Termes IGN] représentation des détails topographiques [Termes IGN] symbole graphique [Termes IGN] trafic routier [Termes IGN] visualisation cartographique Résumé : (Auteur) This paper addresses the suitability of different cartographic design variants for visually communicating recommended routes. We performed a user study, investigating the potential of six different design variants (color hue, distortion, length distortion, size, spacing, and symbols) for influencing route choice using cartographic visualization methods while recommending a longer, but less congested route. The visualizations for all design variants have been prepared in three different levels of intensity of modification (weak, medium, and strong). Although the input data (traffic density) is the same for all representation methods, variations are each visualized using different cartographic design principles. Our results showed that in general, for the majority of routing scenarios, the participants’ route choice has been significantly influenced toward choosing the recommended route – indicating that the modification of route visualizations does actually lead to a different route choice behavior. Results further revealed that for most variants, willingness to choose the recommended route increases with higher intensity of modification. While some of the design variants like symbols or length distortion have been found effective for recommending routes at all levels of intensity, others like size and spacing have not been found suitable. A comparison between route choices and estimated route characteristics suggested a close relationship between willingness to choose the recommended route and the characteristics participants associate with the representation. In particular, route visualizations that create an impression of faster, more convenient, or more fluent travel experience are more likely to influence route choice behavior. Numéro de notice : A2021-181 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1855251 Date de publication en ligne : 06/01/2021 En ligne : https://doi.org/10.1080/15230406.2020.1855251 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97068 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2021021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Cartographic generalization / Monika Sester in Journal of Spatial Information Science, JoSIS, n° 21 (2020)  

Public [article]  inJournal of Spatial Information Science, JoSIS > n° 21 (2020) Titre : Cartographic generalization Type de document : Article/Communication Auteurs : Monika Sester, Auteur Année de publication : 2020 Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage profond [Termes IGN] généralisation cartographique automatisée [Termes IGN] géomètrie algorithmique [Vedettes matières IGN] Généralisation Résumé : (auteur) This short paper gives a subjective view on cartographic generalization, its achievements in the past, and the challenges it faces in the future. Numéro de notice : A2020-849 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5311/JOSIS.2020.21.716 Date de publication en ligne : 30/12/2020 En ligne : https://doi.org/10.5311/JOSIS.2020.21.716 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98662 [article]

Enhancing the resolution of urban digital terrain models using mobile mapping systems / Yu Feng in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-4/W6 (October 2018)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol IV-4/W6 (October 2018) . - pp 11 - 18 Titre : Enhancing the resolution of urban digital terrain models using mobile mapping systems Type de document : Article/Communication Auteurs : Yu Feng, Auteur ; Claus Brenner, Auteur ; Monika Sester, Auteur Année de publication : 2018 Conférence : 3D GeoInfo 2018, ISPRS 13th international conference 01/10/2018 02/10/2018 Delft Pays-Bas ISPRS OA Annals Article en page(s) : pp 11 - 18 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] écoulement des eaux [Termes IGN] Hanovre (Basse-Saxe) [Termes IGN] modèle numérique de terrain [Termes IGN] semis de points [Termes IGN] zone urbaine Résumé : (auteur) Digital Terrain Models (DTMs) are essential surveying products for terrain based analyses, especially for overland flow modelling. Nowadays, many high resolution DTM products are generated by Airborne Laser Scanning (ALS). However, DTMs with even higher resolution are of great interest for a more precise overland flow modelling in urban areas. With the help of mobile mapping techniques, we can obtain much denser measurements of the ground in the vicinity of roads. In this research, a study area in Hannover, Germany was measured by a mobile mapping system. Point clouds from 485 scan strips were aligned and a DTM was extracted. In order to achieve a product with completeness, this mobile mapping produced DTM was then merged and adapted with a DTM product with 0.5 m resolution from a mapping agency. Systematic evaluations have been conducted with respect to the height accuracy of the DTM products. The results show that the final DTM product achieved a higher resolution (0.1 m) near the roads while essentially maintaining its height accuracy. Numéro de notice : A2018-291 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5194/isprs-annals-IV-4-W6-11-2018 Date de publication en ligne : 12/09/2018 En ligne : https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100955 [article]

Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos / Yu Feng in ISPRS International journal of geo-information, vol 7 n° 2 (February 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 2 (February 2018) Titre : Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos Type de document : Article/Communication Auteurs : Yu Feng, Auteur ; Monika Sester, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] apprentissage profond [Termes IGN] Berlin [Termes IGN] cartographie des risques [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] contenu généré par les utilisateurs [Termes IGN] données issues des réseaux sociaux [Termes IGN] données localisées des bénévoles [Termes IGN] inondation [Termes IGN] Londres [Termes IGN] Paris (75) [Termes IGN] protection civile [Termes IGN] risque naturel [Termes IGN] zone sinistrée [Termes IGN] zone urbaine Résumé : (Auteur) In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens’ safety. Therefore, real-time information about such events is desirable. With the increasing popularity of social media platforms, such as Twitter or Instagram, information provided by voluntary users becomes a valuable source for emergency response. Many applications have been built for disaster detection and flood mapping using crowdsourcing. Most of the applications so far have merely used keyword filtering or classical language processing methods to identify disaster relevant documents based on user generated texts. As the reliability of social media information is often under criticism, the precision of information retrieval plays a significant role for further analyses. Thus, in this paper, high quality eyewitnesses of rainfall and flooding events are retrieved from social media by applying deep learning approaches on user generated texts and photos. Subsequently, events are detected through spatiotemporal clustering and visualized together with these high quality eyewitnesses in a web map application. Analyses and case studies are conducted during flooding events in Paris, London and Berlin. Numéro de notice : A2018-105 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7020039 En ligne : https://doi.org/10.3390/ijgi7020039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89530 [article]

Generative models for road network reconstruction / Colin Kuntzsch in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 5-6 (May - June 2016) . - pp 1012 - 1039 Titre : Generative models for road network reconstruction Type de document : Article/Communication Auteurs : Colin Kuntzsch, Auteur ; Monika Sester, Auteur ; Claus Brenner, Auteur Année de publication : 2016 Article en page(s) : pp 1012 - 1039 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement de données localisées [Termes IGN] coordonnées GPS [Termes IGN] itinéraire [Termes IGN] méthode de Monte-Carlo par chaînes de Markov [Termes IGN] modèle cartographique [Termes IGN] réalité de terrain [Termes IGN] reconstruction d'itinéraire ou de trajectoire [Termes IGN] relation topologique [Termes IGN] réseau routier [Termes IGN] trafic routier Résumé : (Auteur) This work aims at the inference of traffic networks from GPS trajectories. We perform geometry and topology reconstruction of the network in a multistep process. Our main contributions are the formulation of an explicit intersection model with a score function that accounts for consistency with the raw tracking data, as well as for a topology prior and the search for the best model by maximization of this score function using a Markov chain Monte Carlo sampler. We demonstrate the viability of our model-based approach with experiments on GPS data sets of varying size and data quality, followed by a comparison with results achieved by alternative, heuristic approaches. Numéro de notice : A2016-293 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1092151 En ligne : https://doi.org/10.1080/13658816.2015.1092151 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80872 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016032	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2016031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Information from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  

Permalink

Estimation of precipitation fields from 1-minute rain gauge time series – comparison of spatial and spatio-temporal interpolation methods / D. Fitzner in International journal of geographical information science IJGIS, vol 29 n° 9 (September 2015)  

Permalink

Model generalization of two different drainage patterns by self-organizing maps / Alper Sen in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)  

Permalink

A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data / Hai Huang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)  

Permalink

Spatial relations and properties for semantically enhanced 3D city models / Bénédicte Bucher (2012)

Permalink

Quality analysis of OpenStreetMap data based on application needs / J. Mondzech in Cartographica, vol 46 n° 2 (June 2011)  

Permalink

Aggregation of LoD 1 building models as an optimization problem / R. Guercke in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)  

Permalink

vol 66 n° 2 - March - April 2011 - Quality, scale and analysis aspects of urban city models (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Monika Sester  

Permalink

Augmented paper maps: Exploring the design space of a mixed reality system / Volker Paelke in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 3 (May - June 2010)  

Permalink

Advances in GIScience, Proceedings of the 12th AGILE Conference [AGILE 2009] / Monika Sester (2009)  

Permalink