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Deriving map images of generalised mountain roads with generative adversarial networks / Azelle Courtial in International journal of geographical information science IJGIS, vol 37 n° 3 (March 2023)
[article]
Titre : Deriving map images of generalised mountain roads with generative adversarial networks Type de document : Article/Communication Auteurs : Azelle Courtial , Auteur ; Guillaume Touya , Auteur ; Xiang Zhang, Auteur Année de publication : 2023 Article en page(s) : pp 499 - 528 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] apprentissage dirigé
[Termes IGN] apprentissage non-dirigé
[Termes IGN] carte routière
[Termes IGN] données d'entrainement (apprentissage automatique)
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] montagne
[Termes IGN] réseau antagoniste génératif
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Map generalisation is a process that transforms geographic information for a cartographic at a specific scale. The goal is to produce legible and informative maps even at small scales from a detailed dataset. The potential of deep learning to help in this task is still unknown. This article examines the use case of mountain road generalisation, to explore the potential of a specific deep learning approach: generative adversarial networks (GAN). Our goal is to generate images that depict road maps generalised at the 1:250k scale, from images that depict road maps of the same area using un-generalised 1:25k data. This paper not only shows the potential of deep learning to generate generalised mountain roads, but also analyses how the process of deep learning generalisation works, compares supervised and unsupervised learning and explores possible improvements. With this experiment we have exhibited an unsupervised model that is able to generate generalised maps evaluated as good as the reference and reviewed some possible improvements for deep learning-based generalisation, including training set management and the definition of a new road connectivity loss. All our results are evaluated visually using a four questions process and validated by a user test conducted on 113 individuals. Numéro de notice : A2023-073 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2123488 Date de publication en ligne : 20/10/2022 En ligne : https://doi.org/10.1080/13658816.2022.2123488 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101901
in International journal of geographical information science IJGIS > vol 37 n° 3 (March 2023) . - pp 499 - 528[article]
Titre : Exploring the potential of deep learning for map generalization Type de document : Thèse/HDR Auteurs : Azelle Courtial , Auteur ; Guillaume Touya , Directeur de thèse ; Xiang Zhang, Directeur de thèse Editeur : Champs-sur-Marne [France] : Université Gustave Eiffel Année de publication : 2023 Importance : 216 p. Note générale : bibliographie
Doctoral thesis from Université Gustave Eiffel, Doctoral school MSTIC, Specialty "Geographic information sciences"Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] relation spatiale
[Termes IGN] réseau antagoniste génératif
[Termes IGN] réseau neuronal profond
[Vedettes matières IGN] GénéralisationIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Map generalization is a process that aims to adapt the level of detail of geographic information for cartography at a small scale. Automating the process is complex but essential in map production. We think this research field could benefit from the recent advances in deep learning that make it possible to solve more and more complex tasks, using numerous training examples. This thesis proposes exploring the potential of deep learning for map generalization. This exploration is built upon three map generalization use cases: recognition of spatial relations, graphic generalization of mountain roads, and generalization of topographic maps at medium scales. These three use cases enable us to address research questions relative to the concrete implementation of deep learning models for map generalization (including dataset creation and architecture), the evaluation of such models and their integration in existing generalization processes. In addition to the models and training set adapted for each of our case studies already mentioned, we propose evaluation methods adapted to the challenges of cartographic generalization by deep learning. Finally, we propose a partitioning of the cartographic generalization into sub-problems facilitating the resolution by learning and allowing the generation of generalized map images. Note de contenu : Introduction
Part 1 A new paradigm for map generalization
Chapter A. Literature review
Chapter B. Formulating map generalization as a deep learning task
Chapter C. Designing a framework for deep learning based map generalization
Part 2 Exploration of deep learning for map generalization
Chapter D. Can graph neural networks model spatial relations?
Chapter E. CNN for the generalization of roads
Chapter F. The generation of topographic map with several themes
Part III The future of map generalization with deep learning
Chapter G. Usages of deep learning models for map generalization
Chapter H. Evaluation of deep learning predictions
ConclusionNuméro de notice : 17752 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Thèse française Organisme de stage : LASTIG (IGN) nature-HAL : Thèse DOI : sans Date de publication en ligne : 05/05/2023 En ligne : https://theses.hal.science/tel-04089883v1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103186 A hexagon-based method for polygon generalization using morphological operators / Lu Wang in International journal of geographical information science IJGIS, vol 37 n° 1 (January 2023)
[article]
Titre : A hexagon-based method for polygon generalization using morphological operators Type de document : Article/Communication Auteurs : Lu Wang, Auteur ; Tinghua Ai, Auteur ; Dirk Burghardt, Auteur ; Yilang Shen, Auteur ; Min Yang, Auteur Année de publication : 2023 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données maillées
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] morphologie mathématique
[Termes IGN] polygone
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Numerous methods based on square rasters have been proposed for polygon generalization. However, these methods ignore the inconsistent distance measurement among neighborhoods of squares, which may result in an imbalanced generalization in different directions. As an alternative raster, a hexagon has consistent connectivity and isotropic neighborhoods. This study proposed a hexagon-based method for polygon generalization using morphological operators. First, we defined three generalization operators: aggregation, elimination, and line simplification, based on hexagonal morphological operations. We then used corrective operations with selection, skeleton, and exaggeration to detect, classify, and correct the unreasonably reduced narrow parts of the polygons. To assess the effectiveness of the proposed method, we conducted experiments comparing the hexagonal raster to square raster and vector data. Unlike vector-based methods in which various algorithms simplified either areal objects or exterior boundaries, the hexagon-based method performed both simplifications simultaneously. Compared to the square-based method, the results of the hexagon-based method were more balanced in all neighborhood directions, matched better with the original polygons, and had smoother simplified boundaries. Moreover, it performed with shorter running time than the square-based method, where the minimal time difference was less than 1 min, and the maximal time difference reached more than 50 mins. Numéro de notice : A2023-071 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2108036 Date de publication en ligne : 10/08/2022 En ligne : https://doi.org/10.1080/13658816.2022.2108036 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101387
in International journal of geographical information science IJGIS > vol 37 n° 1 (January 2023)[article]Incorporating ideas of structure and meaning in interactive multi scale mapping environments / Guillaume Touya in International journal of cartography, vol inconnu (2023)
[article]
Titre : Incorporating ideas of structure and meaning in interactive multi scale mapping environments Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Quentin Potié , Auteur ; William A Mackaness, Auteur Année de publication : 2023 Projets : LostInZoom / Touya, Guillaume Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage automatique
[Termes IGN] état de l'art
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] lisibilité perceptive
[Termes IGN] reconnaissance de formes
[Termes IGN] web mapping
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Web based, slippy, scalable maps are common place. Interacting with such digital maps at varying levels of detail is key to interpretation, and exploration of different geographies. The process of abstraction remains key to the immediate and successful interpretation of their many structures and geographical associations found at any given scale. Meaning is derived from such recognisable structures and map generalisation plays a critical role in communicating an entity's most characteristic and salient qualities. But what are these structures? How (and why) do they change over scale? Why are such questions relevant to automated mapping? In this paper we reflect on the value of perceptual studies and reconsider the context in which map generalisation now takes place. We review developments in pattern recognition techniques and the role played by machine learning techniques in identifying high level structures in abstracted maps. The benefits of their application include derivation of ontological descriptions of landscape, identification and preservation of salient landmarks across scales. We argue that a 'structuralist based approach' provides a more meaningful basis for measuring success and achieving more meaningful outputs. Ultimately the ambition is greater levels of automation in map generalisation, particularly in the context of web based solutions. Numéro de notice : A2023-099 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2023.2215960 Date de publication en ligne : 01/06/2023 En ligne : https://doi.org/10.1080/23729333.2023.2215960 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103273
in International journal of cartography > vol inconnu (2023)[article]Linear building pattern recognition in topographical maps combining convex polygon decomposition / Zhiwei Wei in Geocarto international, vol 38 n° inconnu ([01/01/2023])
[article]
Titre : Linear building pattern recognition in topographical maps combining convex polygon decomposition Type de document : Article/Communication Auteurs : Zhiwei Wei, Auteur ; Su Ding, Auteur ; Lu Cheng, Auteur ; et al., Auteur Année de publication : 2023 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] carte topographique
[Termes IGN] construction
[Termes IGN] décomposition
[Termes IGN] détection du bâti
[Termes IGN] forme linéaire
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] Ordnance Survey (UK)
[Termes IGN] polygone
[Termes IGN] reconnaissance de formesRésumé : (auteur) Building patterns are crucial for urban form understanding, automated map generalization, and 3 D city model visualization. The existing studies have recognized various building patterns based on visual perception rules in which buildings are considered as a whole. However, some visually aware patterns may fail to be recognized with these approaches because human vision is also proved as a part-based system. This paper first proposed an approach for linear building pattern recognition combining convex polygon decomposition. Linear building patterns including collinear patterns and curvilinear patterns are defined according to the proximity, similarity, and continuity between buildings. Linear building patterns are then recognized by combining convex polygon decomposition, in which a building can be decomposed into sub-buildings for pattern recognition. A novel node concavity is developed based on polygon skeletons which is applicable for building polygons with holes or not in the building decomposition. And building’s orthogonal features are also considered in the building decomposition. Two datasets collected from Ordnance Survey (OS) were used in the experiments to verify the effectiveness of the proposed approach. The results indicate that our approach achieves 25.57% higher precision and 32.23% higher recall in collinear pattern recognition and 15.67% higher precision and 18.52% higher recall in curvilinear pattern recognition when compared to existing approaches. Recognition of other kinds of building patterns including T-shaped and C-shaped patterns combining convex polygon decomposition are also discussed in this approach. Numéro de notice : A2022-263 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/10106049.2022.2055794 Date de publication en ligne : 27/03/2022 En ligne : https://doi.org/10.1080/10106049.2022.2055794 Format de la ressource électronique : 27/03/2022 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100260
in Geocarto international > vol 38 n° inconnu [01/01/2023][article]Semi-automatic development of thematic tactile maps / Jakub Wabiński in Cartography and Geographic Information Science, vol 49 n° 6 (November 2022)PermalinkPolyline simplification based on the artificial neural network with constraints of generalization knowledge / Jiawei Du in Cartography and Geographic Information Science, Vol 49 n° 4 (July 2022)PermalinkProcedural urban forestry / Till Niese in ACM Transactions on Graphics, TOG, Vol 41 n° 2 (April 2022)PermalinkAccessing spatial knowledge networks with maps / Markus Jobst in International journal of cartography, vol 8 n° 1 (March 2022)PermalinkIdentification de relations spatiales par apprentissage profond sur des graphes / Azelle Courtial in Cartes & Géomatique, n° 247-248 (mars-juin 2022)PermalinkReBankment : un algorithme pour déplacer les talus sur les cartes par moindres carrés / Guillaume Touya in Cartes & Géomatique, n° 247-248 (mars-juin 2022)PermalinkReBankment: displacing embankment lines from roads and rivers with a least squares adjustment / Guillaume Touya in International journal of cartography, vol 8 n° 1 (March 2022)PermalinkGuidelines for standardizing the design of tactile maps: A review of research and best practice / Jakub Wabiński in Cartographic journal (the), vol 59 n° 3 (August 2022)PermalinkPermalinkMulti-criteria geographic analysis for automated cartographic generalization / Guillaume Touya in Cartographic journal (the), vol 59 n° 1 (February 2022)PermalinkReprésentation et combinaison de l'information géographique pour l'apprentissage profond / Azelle Courtial (2022)PermalinkA scalable method to construct compact road networks from GPS trajectories / Yuejun Guo in International journal of geographical information science IJGIS, vol 35 n° 7 (July 2021)PermalinkAn area merging method in map generalization considering typical characteristics of structured geographic objects / Chengming Li in Cartography and Geographic Information Science, vol 48 n° 3 (May 2021)PermalinkGénération automatique de courbes de niveaux dans les zones de plateaux karstiques / Guillaume Touya in Cartes & Géomatique, n° 243-244 (mars - juin 2021)PermalinkAggregating land-use polygons considering line features as separating map elements / Sven Gedicke in Cartography and Geographic Information Science, vol 48 n° 2 (March 2021)PermalinkGenerative adversarial networks to generalise urban areas in topographic maps / Azelle Courtial (2021)PermalinkCartographic generalization / Monika Sester in Journal of Spatial Information Science, JoSIS, n° 21 (2020)PermalinkA multi-scale representation model of polyline based on head/tail breaks / Pengcheng Liu in International journal of geographical information science IJGIS, vol 34 n° 11 (November 2020)PermalinkMapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data / Yaotong Cai in International journal of applied Earth observation and geoinformation, vol 92 (October 2020)PermalinkMapping the French green infrastructure – an exercise in homogenizing heterogeneous regional data / Lucille Billon in International journal of cartography, Vol 6 n° 2 (July 2020)PermalinkImproved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea: Algorithm procedure, application, and validation / Eslam Ali in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)PermalinkMethodology of the automatic generalization of buildings, road networks, forests and surface waters: a case study based on the Topographic Objects Database in Poland / Izabela Karsznia in Geocarto international, vol 35 n° 7 ([15/05/2020])PermalinkExploring the potential of deep learning segmentation for mountain roads generalisation / Azelle Courtial in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)PermalinkGeological map generalization driven by size constraints / Azimjon Sayidov in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)PermalinkClassifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks / Lauwrence V. Stanislawski in International journal of cartography, Vol 6 n° 1 (March 2020)PermalinkConstraint based evaluation of generalized images generated by deep learning / Azelle Courtial (2020)PermalinkPermalinkMapGenOnto: A shared ontology for map generalisation and multi-scale visualisation / Guillaume Touya (2020)PermalinkIs deep learning the new agent for map generalization? / Guillaume Touya in International journal of cartography, vol 5 n° 2-3 (July - November 2019)PermalinkAutomatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda / Guillaume Touya in International journal of cartography, vol 5 n° 1 (March 2019)PermalinkPermalinkPermalinkOn the spatial distribution of buildings for map generalization / Zhiwei Wei in Cartography and Geographic Information Science, Vol 45 n° 6 (November 2018)PermalinkTeragons for testing implementations of point reduction algorithms / Mahes Visvalingam in Cartographic journal (the), Vol 55 n° 3 (August 2018)PermalinkComplexity reduction in choropleth map animations by autocorrelation weighted generalization of time-series data / Christoph Traun in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)PermalinkMeasured and perceived visual complexity : a comparative study among three online map providers / Susan Schnur in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)PermalinkRecognizing building groups for generalization : a comparative study / Min Deng in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)PermalinkLabelling hierarchy for street maps using centrality measures / Wasim Shoman in Cartographic journal (the), vol 55 n° 1 (February 2018)PermalinkA typification method for linear pattern in urban building generalisation / Xianyong Gong in Geocarto international, vol 33 n° 2 (February 2018)PermalinkGénéralisation de représentations intermédiaires dans une carte topographique multi-échelle pour faciliter la navigation de l’utilisateur / Marion Dumont (2018)PermalinkMulti-agents systems for cartographic generalization: Feedback from past and on-going research / Cécile Duchêne (2018)PermalinkCentrality-based hierarchy for street network generalization in multi-resolution maps / Wasim Shoman in Geocarto international, vol 32 n° 12 (December 2017)PermalinkPartial polygon pruning of hydrographic features in automated generalization / Alexander K. Stum in Transactions in GIS, vol 21 n° 5 (October 2017)PermalinkBinSq : visualizing geographic dot density patterns with gridded maps / Alvin Chua in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)PermalinkShape-adaptive geometric simplification of heterogeneous line datasets / Timofey Samsonov in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkDIOGEN, a multi-level oriented model for cartographic generalization / Adrien Maudet in International journal of cartography, vol 3 n° 1 (June 2017)PermalinkThe bounds of distortion : truth, meaning and efficacy in digital geographic representation / Lucas Godfrey in International journal of cartography, vol 3 n° 1 (June 2017)PermalinkVariable-scale maps in real-time generalisation using a quadtree data structure and space deforming algorithms / Pia Bereuter in International journal of cartography, vol 3 n° 1 (June 2017)PermalinkA method for assessing generalized data accuracy with linear object resolution verification / Tadeusz Chrobak in Geocarto international, vol 32 n° 3 (March 2017)PermalinkEuroSDR contributions to ISPRS Congress XXIII, 12 - 19 July 2016, Special Session 12 – EuroSDR Prague, Czech Republic / European Spatial Data Research EuroSDR (02/2017)PermalinkPermalinkCitizen empowered mapping, ch. 1. Level of details harmonization operations in OpenStreetMap based large scale maps / Guillaume Touya (2017)PermalinkPermalinkPermalinkThe International Encyclopedia of Geography: People, The Earth, Environment, and Technology, ch. Map Generalization / William A Mackaness (2017)PermalinkPermalinkClutter and map legibility in automated cartography : a research agenda / Guillaume Touya in Cartographica, vol 51 n° 4 (Winter 2016)PermalinkmR-V: Line simplification through mnemonic rasterization / Emmanuel Stefanakis in Geomatica, vol 70 n° 4 (December 2016)PermalinkFourier-based multi-scale representation and progressive transmission of cartographic curves on the internet / Pengcheng Liu in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)PermalinkHow many samples are needed? An investigation of binary logistic regression for selective omission in a road network / Qi Zhou in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)PermalinkA Topology-inferred graph-based heuristic algorithm for map simplification / QiuLei Guo in Transactions in GIS, vol 20 n° 5 (October 2016)PermalinkEnhancing building footprints with squaring operations / Imran Lokhat in Journal of Spatial Information Science, JoSIS, n° 13 (September 2016)PermalinkAn immune genetic algorithm to buildings displacement in cartographic generalization / Yageng Sun in Transactions in GIS, vol 20 n° 4 (August 2016)PermalinkBuilding displacement based on the topological structure / Yageng Sun in Cartographic journal (the), Vol 53 n° 3 (August 2016)PermalinkThe Visvalingam algorithm: metrics, measures and heuristics / Mahes Visvalingam in Cartographic journal (the), Vol 53 n° 3 (August 2016)PermalinkSplitArea: an algorithm for weighted splitting of faces in the context of a planar partition / Martijn Meijers in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkAn evaluation of unsupervised and supervised learning algorithms for clustering landscape types in the United States / Jochen Wendel in Cartography and Geographic Information Science, Vol 43 n° 3 (June 2016)PermalinkFeature-driven generalization of isobaths on nautical charts: A multi-agent system approach / Eric Guilbert in Transactions in GIS, vol 20 n° 1 (February 2016)PermalinkIdentification and utilization of land-use type importance for land-use data generalization / Wenxiu Gao in Cartographic journal (the), Vol 53 n° 1 (February 2016)PermalinkAssessing the variation of visual complexity in multi-scale maps with clutter measures / Marion Dumont (2016)PermalinkPermalinkAutomatisation de la généralisation cartographique : Relations et interactions, orchestration et approches multi-agents / Cécile Duchêne (2016)PermalinkEmpirical determination of geometric parameters for selective omission in a road network / Qi Zhou in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)PermalinkParallélisation des processus de traitement des données spatiales / Justin Berli (2016)PermalinkUn cadre formel pour la généralisation multi-échelle de l'occupation du sol au sein de ScaleMaster 2.0 / Jean-François Girres in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkEnrichissement automatique et généralisation de réseaux ferrés / Guillaume Touya in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkProblématiques de recherche autour de la notion de clutter en cartographie automatique / Guillaume Touya in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkSymbolisation et généralisation de données de réseau à différentes échelles / Ha Pham in Cartes & Géomatique, n° 226 (décembre 2015)PermalinkSELF: Semantically Enriched Line simpliFication / Emmanuel Stefanakis in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)PermalinkComparing image-based methods for assessing visual clutter in generalized maps / Guillaume Touya in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W5 (October 2015)PermalinkAutomatic identification of building types based on topographic databases – a comparison of different data sources / Robert Hecht in International journal of cartography, vol 1 n° 1 (August 2015)PermalinkGenerating more maps from spatial big data : new tools needed to meet the neocartography challenge / Nicolas Regnauld in Position, n° 78 (August - September 2015)PermalinkA vector field model to handle the displacement of multiple conflicts in building generalization / Tinghua Ai in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)PermalinkAnalytical estimation of map readability / Lars Harrie in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)PermalinkAdaptive relative motion representation of space–time trajectories / Antoni B. Moore in Cartographic journal (the), Vol 52 n° 2 (May 2015)PermalinkAutomated generation of schematic network maps adaptive to display sizes / Peng Ti in Cartographic journal (the), Vol 52 n° 2 (May 2015)PermalinkSymbolization and generalization to map water pipe data flow and water quality at different scales / Anne Ruas in Cartographic journal (the), Vol 52 n° 2 (May 2015)PermalinkTowards better WMS maps through the use of the styled layer descriptor and cartographic conflict resolution for linear features / Ionuţ Iosifescu Enescu in Cartographic journal (the), Vol 52 n° 2 (May 2015)PermalinkAdaptive generation of variable-scale network maps for small displays based on line density distribution / Zhilin Li in Geoinformatica, vol 19 n° 2 (April - June 2015)PermalinkAn experimental approach for selection/elimination in stream network generalization using support vector machines / Alper Sen in Geocarto international, vol 30 n° 3 - 4 (March - April 2015)PermalinkObject selection in map generalization using geosocial network data: A case study in Wuhan, China / Hao Luo in Geomatica, vol 69 n° 1 (March 2015)PermalinkWeighted straight skeletons in the plane / Therese Biedl in Computational Geometry : theory and applications, vol 48 n° 2 (February 2015)PermalinkAdding intermediate representations in a multi-scale map to enable a smooth zooming / Marion Dumont (2015)PermalinkPermalinkPermalinkPermalinkPermalinkThe fractal nature of maps and mapping / Bin Jiang in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)PermalinkCharacterisation of building alignments with new measures using C4.5 decision tree algorithm / Sinan Cetinkaya in Geodetski vestnik, vol 58 n° 3 ([01/09/2014])PermalinkRoad network selection for medium scales using an extended stroke-mesh combination algorithm / Stefan A. Benz in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)PermalinkStep by step / Mary Lou Von Wyl in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)PermalinkUrban structure generalization in multi-agent process by use of reactional agents / Jérémy Renard in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkUse of artificial neural networks for selective omission in updating road networks / Qi Zhou in Cartographic journal (the), vol 51 n° 1 (February 2014)PermalinkPermalinkAbstracting geographic information in a data rich world, ch. 1. Map generalisation: fundamental to the modelling and understanding of geographic space / William A Mackaness (2014)PermalinkAbstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)PermalinkAbstracting geographic information in a data rich world, ch. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (2014)PermalinkAbstracting geographic information in a data rich world, ch. 2. Map specifications and user requirements / Sandrine Balley (2014)PermalinkAbstracting geographic information in a data rich world, ch. 3. Modelling geographic relationships in automated environments / Guillaume Touya (2014)PermalinkAbstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)PermalinkAbstracting geographic information in a data rich world / Dirk Burghardt (2014)PermalinkPermalinkPermalinkFully automated generalization of a 1:50k map from 1:10k data / Jantien E. Stoter in Cartography and Geographic Information Science, vol 41 n° 1 (January 2014)PermalinkPermalinkIndividual road generalisation in the 1997-2000 AGENT European project / Cécile Duchêne (August 2014)PermalinkPermalinkRepresentation of interactions in a multi-level multi-agent model for cartography constraint solving / Adrien Maudet (2014)PermalinkA method to generalize stream flowlines in small-scale maps by a variable flow-based pruning threshold / Michael Tinker in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)PermalinkScale-specific automated line simplification by vertex clustering on a hexagonal tessellation / Paulo Raposo in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)PermalinkContent zooming and information exploration for web and mobile maps. Adaptation of real-time map generalisation to the information seeking strategies of web and mobile users / Pia Bereuter in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)Permalinkvol 40 n° 4 - September 2013 - AutoCarto 2012 Research Symposium in Columbus, Ohio, United-States 16-18 september 2012 (Bulletin de Cartography and Geographic Information Science) / Sarah E. BattersbyPermalinkAutomated thinning of road networks and road labels for multiscale design of The National Map of the United States / Cynthia A. Brewer in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkUne expérience de généralisation de réseau routier dans un dispositif de production / Jérémy Renard in Cartes & Géomatique, n° 217 (septembre 2013)PermalinkReal-time generalization of point data in mobile and web mapping using quadtrees / Pia Bereuter in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkLe ScaleMaster 2.0 : Une extension du modèle ScaleMaster pour gérer des généralisations multi-échelles automatiques / Guillaume Touya in Cartes & Géomatique, n° 217 (septembre 2013)PermalinkClutter reduction methods for point symbols in map mashups / Jari Korpi in Cartographic journal (the), vol 50 n° 3 (August 2013)PermalinkTopologically safe curved schematisation / Arthur Van Goethem in Cartographic journal (the), vol 50 n° 3 (August 2013)PermalinkScaleMaster 2.0: a ScaleMaster extension to monitor automatic multi-scales generalizations / Guillaume Touya in Cartography and Geographic Information Science, vol 40 n° 3 (June 2013)Permalinkvol 40 n° 3 - June 2013 - Selected Papers from ICC 2013: International Cartographic conference, Dresden, Germany, 25-30 august 2013 (Bulletin de Cartography and Geographic Information Science) / Michael LeitnerPermalinkMulti-level representation of terrain features on a contour map / Eric Guilbert in Geoinformatica, vol 17 n° 2 (April 2013)PermalinkVisual abstraction and stylisation of maps / Tobias Isenberg in Cartographic journal (the), vol 50 n° 1 (February 2013)PermalinkBuilding pattern recognition in topographic data: examples on collinear and curvilinear alignments / Xiang Zhang in Geoinformatica, vol 17 n° 1 (January 2013)PermalinkImproving multi-level interactions modelling in a multi-agent generalisation model: first experiments / Adrien Maudet (2013)PermalinkPermalinkPermalinkA symmetry detector for map generalization and urban-space analysis / Jan‐Henrik Haunert in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkThe CARTACOM model : transforming cartographic features into communicating agents for cartographic generalization / Cécile Duchêne in International journal of geographical information science IJGIS, vol 26 n° 9-10 (September - october 2012)PermalinkGénéralisation : la toponymie aussi / Cécile Marin in Carto, le monde en cartes, n° 11 (mai - juin 2012)PermalinkIGN : la recherche se porte bien / Françoise de Blomac in SIG la lettre, n° 136 (avril 2012)PermalinkCollaGen : Collaboration entre processus de généralisation cartographique / Guillaume Touya in Cartes & Géomatique, n° 211 (mars 2012)PermalinkMathematical morphology-based generalization of complex 3D building models incorporating semantic relationships / J. 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Conference proceedings / Anne Ruas (2011)PermalinkAn evaluation of the impact of cartographic generalisation on length measurement computed from linear vector databases / Jean-François Girres (2011)PermalinkCollaGen : Collaboration between automatic cartographic generalisation processes / Guillaume Touya (2011)PermalinkGeneralisation, symbol specification and map evaluation: feedback from research done at COGIT laboratory, IGN France / Cécile Duchêne in International Journal of Digital Earth, Volume 4, 2011 - Issue sup1 (2011)PermalinkGeneralization of DEM for terrain analysis using a compound method / Q. 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Selvi in Cartographic journal (the), vol 47 n° 2 (May 2010)PermalinkVisualisation of origins, destinations and flows with OD maps / J. Wood in Cartographic journal (the), vol 47 n° 2 (May 2010)PermalinkIGN : entre recherche et développement / Françoise de Blomac in SIG la lettre, n° 116 (avril 2010)PermalinkMastering map : scale balancing workloads display and geometry change in multi-scale mapping / Cynthia A. Brewer in Geoinformatica, vol 14 n° 2 (April 2010)PermalinkAutomated reduction of visual complexity in small-scale relief shading / A. Leonowicz in Cartographica, vol 45 n° 1 (March 2010)PermalinkA DEM generalization by minor valley branch detection and grid filling / Tinghua Ai in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkGénéralisation et intégration pour un fond vert commun entre l'IFN et l'IGN / Guillaume Touya in Revue internationale de géomatique, vol 20 n° 1 (mars - mai 2010)PermalinkA mathematical expression for stereoscopic depth perception / H. Rosas in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 3 (March 2010)PermalinkPermalinkAméliorer l'ordonnanceur principal du modèle de généralisation CartACom / Ismail Gokhan Altay (2010)PermalinkAutomatic creation of extents for forest names / Ghislaine Convers (2010)PermalinkChallenges for automated generalisation at European mapping agencies: a qualitative and quantitative analysis / T. Foesrster in Cartographic journal (the), vol 47 n° 1 (January 2010)PermalinkCollaborative generalisation: formalisation of generalisation knowledge to orchestrate different cartographic generalisation processes / Guillaume Touya (2010)PermalinkDesigning generalisation evaluation function through human-machine dialogue / Patrick Taillandier (2010)PermalinkDire que ma maison est en ville ou à la campagne change-t-il sa généralisation cartographique ? / Camille Delahaye (2010)PermalinkÉmergence de zones conflits dans deux modèles de généralisation cartographique multi-agents / Cécile Duchêne (2010)PermalinkPermalinkEuroSDR research on state-of-the-art of automated generalisation in commercial software: main findings and conclusions / Jantien E. Stoter (2010)PermalinkFormalization and data enrichment for automated evaluation of building pattern preservation / Xiang Zhang (2010)PermalinkPermalinkWeb-based architecture for on-demand maps - integrating meaningful generalization processing / Theodor Foerster (2010)Permalink