Logo GeoVIS GEOVIS Equipe Research Team GEOVIS

Visualization, Interaction and Immersion
Visualisation, Interaction et Immersion
GeoVis Team (Quarantine) GeoVis Team


[ERC Consolidator Grant] Guillaume Touya received an ERC Consolidator Grant 2020 (2 M€) for the LostInZoom project. #ERCCoG


[Long Internships][Stages longs] 2021 (from Feb, March, April, etc...)!

[Paper] ISS 2020 : Lobo. M-J, Hurter C., Irani P. Flex-ER: A Platform to Evaluate Interaction Techniques for Immersive Visualizations. .
[Workshop] 23th ICA Map Generalisation Co-organized by G. Touya; Talks of A. Courtial, G. Touya (5-6 Nov. 2020).
[Paper] IEEEVIS 2020: Gautier J., Brédif M., Christophe S., 2020. Co-visualization of air temperature and urban data for visual exploration.
[Talk] Journées de la Recherche 2020:












The GeoVIS team provides geovisualization knowledge, methods and tools allowing various users to design graphic representations of spatio-temporal phenomena, and to infer spatio-temporal knowledge from the interaction with some dimensions of a phenomenon, based on spatial data (maps, imagery, 3D models, DTM, point clouds, etc.) and external data (texts, photographies, web data, thematic data, etc.). The heterogeneity (source, scale, content, precision, dimension, temporality) and the imprecision of these data and represented phenomena imply to address geovisualization issues encompasses cartography, GIS, InfoVis, HCI, computer graphics and image processing.

L'équipe fournit des connaissances formalisées, méthodes et outils de géovisualisation permettant à des utilisateurs variés, de concevoir des représentations graphiques de phénomènes spatio-temporels, sur lesquelles raisonner spatialement et temporellement, en leur permettant d'interagir avec une ou plusieurs dimensions du phénomène, à partir de données géographiques (cartes, imagerie, modèles 3D, modèles numériques de terrain, nuages de points, etc.) et de données externes spatialisées (textes, photographies, données du web, données thématiques, etc.). L’hétérogénéité (source, échelle, contenu, précision, dimension, temporalité) et l'imprécision de ces données comme des phénomènes représentés, impliquent de résoudre des problématiques de géovisualisation, en particulier cartographie, SIG, Visualisation d'Informations, Interaction Homme-Machine, informatique graphique et traitement d'images.

Responsable de l'équipe: Head of the team: Sidonie Christophe


Research topics

Sujets de recherche

Plan Local d'Urbanisme Map Map Map

Visualization. Visual integration and complexity, abstraction and level of detail (generalization, symbolization), graphic representation (graphic semiology, style).

Visualisation. Intégration et complexité visuelle, abstraction et gestion du niveau de détail (généralisation, symbolisation), représentation graphique (sémiologie graphique, style).

Time Machine 1 Time Machine 2 Time Machine

Interaction. Interaction between the users and the visualization, according to the support and use context, the users' tasks, and the visual characteristics or the specific spatial phenomena of study: interaction techniques and models, data and representations continuums, and also analysis and learning from interaction activities and traces.

Interaction. Interaction entre l'utilisateur et la visualisation, en fonction du support et du contexte d’utilisation, des tâches de l'utilisateur, et des caractéristiques visuelles ou phénomènes spatialisés à étudier : techniques et modalités d’interaction, continuums de données et de représentations, analyse et apprentissage à partir des traces d’interaction.

Immersive COVID visualization Réalité Augmentée 1 Réalité Augmentée 2

Spatial Immersion. Immersion through devices facilitating visual, tactile and sensitive perception, and the design of geographical spaces: virtual, augmented and mixed realities, tactile maps.

Immersion spatiale. via des dispositifs facilitant la perception visuelle, tactile et sensorielle, et le design des espaces géographiques : réalités virtuelle, augmentée et mixte, cartes tactiles.

Laser Radimetric Correction

Graphic rendering. Improvement of the physical rendering of images, geometric and radiometric analysis, web diffusion of massive data, and real-time 3D rendering.

Rendu Graphique. Amélioration du rendu physique des images, analyse géométrique et radiométrique, diffusion web de données massives, rendu 3D temps réel.

Multi-scale route following task FlexR

User experience (UX). Visual tests, surveys, and prototypes.

Expérimentation utilisateur (UX). Tests visuels, enquêtes, prototypage.

Spatial data processing for visualisation. Spatial analysis, data enrichment, pattern recognition, multiple representation.

Traitement de données spatiales pour la visualisation. Analyse spatiale, enrichissement de données, reconnaissance de formes, représentation multiple.


Staff

Membres

- Permanent staff -

- Membres permanents -


Brédif
Mathieu
BRÉDIF
Senior researcher Chargé de recherche


Christophe
Sidonie
CHRISTOPHE
Senior researcher
-Head of GEOVIS team-
Drectrice de recherche
-Responsable de GEOVIS-



Devaux
Alexandre
DEVAUX
Research engineer Ingénieur de recherche


Gautier
Jacques
GAUTIER
Assistant Professor Enseignant-chercheur


Jacquinod
Florence
JACQUINOD
Teacher-researcher (EIVP) Enseignante-chercheuse (EIVP)


Lelégard
Lâmân
LELÉGARD
Research engineer Ingénieur de recherche


Lobo
María Jesús
LOBO
Research scientist Chargée de recherche CRCN MTES


Lokhat
Imran
LOKHAT
IT scientist Informaticien


Touya
Guillaume
TOUYA
Senior researcher Chercheur HDR

- Temporary staff -

- CDD -


Biniek
Sébastien
BINIEK
PhD student Doctorant


Courtial
Azelle
COURTIAL
PhD student Doctorante


Jiang
Markie
Jiang
PhD student Doctorante


Paiz
Evelyn
PAIZ
PhD student Doctorante

- Alumni -

- Anciens -


Projects

Projects

- On-going research projects -

- Projets en cours -

ANR ACTIVmap project (ANR, 2020-2024)
Computer Assisted Map Design for Visually Impaired People.
• Leader: Jean-Marie Favreau (LIMOS, Clermont-Ferrant). G. Touya & S. Christophe involved.
Learn More

UrCLIM (ERA4CS, 2017-2020)
Advances on urban Climate Services
• Leader: Valéry Masson (MétéoFrance). J. Gautier (post-doc URCLIM), S. Christophe & M. Brédif involved.
Learn More

UrbaRiskLab (I-SITE FUTURE, 2018)
• Leader: Valérie November (LATTS - -ENPC). G. Touya & S. Christophe involved.
Learn More

ALEGORIA (ANR, 2018-2021)
Advanced Linking And Exploitation Of DiGitized Ge0gRaphic Iconographic HeritAge
• Leader: V. Gouet-Brunet (IGN)
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SODUCO (ANR, 2019-2022)
Dynamiques Sociales en contexte urbain: outils, modèles et données libres -- Paris et ses banlieues, 1789-1950
• Porteur: J. Perret (IGN)
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- Past research projects -

- Projets passés -

MapMuxing (ANR, 2014-2019)
Techniques de multiplexing cartographique
• Porteur: G. Touya (IGN)
Learn More

MapStyle (ANR 2012-2016)
The purpose of MapStyle ANR project is to experiment rendering methods coming from Computer Graphics in order to control the style of cartographic renderings, taking into account cartographic constraints
• Porteur: S. Christophe (IGN)
Learn More


Publications

- Main publications since 2018 -

- Publications majeures depuis 2018 -

2020

• Çöltekin, A., Griffin, A. L., Slingsby, A., Robinson A. C., Christophe, S., Rautenbach, V., Chen, M., Pettit, C., Klippel, A. 2020. Geospatial Information Visualization and Extended Reality Displays. Chapter 7, Manual of Digital Earth, ISDE.Eds: Huadong Guo, Michael F. Goodchild, Alessandro Annoni, ISDE. https://doi.org/10.1007/978-981-32-9915-3. pp229-274

Christophe S. 2020. Geovisualization: multidimensional exploration of the territory. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 325-332. DOI: 10.5220/0009355703250332, 2020, Valletta, Malta.

Courtial A., El Ayedi A., Touya G., and Zhang X. 2020. ‘Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation’ ISPRS International Journal of Geographic Information, 25 May 2020, 9 (5), 338. https://doi.org/10.3390/ijgi9050338

Dumont M., Touya G., Duchêne C. Designing multi-scale maps: lessons learned from existing practices. International Journal of Cartography, 6:1, 121-151, 2020. <10.1080/23729333.2020.1717832>

Gautier J., Brédif M., Christophe S., 2020. Co-visualization of air temperature and urban data for visual exploration. IEEE VIS Short Paper Proceedings, published in IEEE Xplore. [Accepted]

Lobo M.-J., Christophe S. Opportunities and challenges for Augmented Reality situated geographical visualization. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020. ⟨hal-02878352⟩

Paiz Reyes E., Brédif M., Christophe S. Geometric distortion of historical images for 3D visualization. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2020, 649–655, ⟨hal-02863366⟩

Touya G., Lokhat I. 2020. Deep Learning for Enrichment of Vector Spatial Databases: Application to Highway Interchange. ACM Transactions on Spatial Algorithms and Systems, ACM, In press. 2020.

• Raposo P., Touya G., and Bereuter P. 2020. ‘A Change of Theme: The Role of Generalization in Thematic Mapping’ ISPRS International Journal of Geographic Information, 4 June 2020, 9 (6), 371. https://doi.org/10.3390/ijgi9060371

2019

• JR 2019 : GEOVIS PhD's posters:

Biniek S., Touya G., and Rouffineau G. 2019. ‘Fifty Shades of Roboto: Text Design Choices and Categories in Multi-Scale Maps’. In 29th International Cartographic Conference (ICC 2019), 1:1–8. Advances in Cartography and GIScience of the ICA. Tokyo, Japan, 2019. https://doi.org/10.5194/ica-adv-1-2-2019.

Christophe, S. 2019. Color Theory. The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2019 Edition), John P. Wilson (Ed.). DOI: 10.22224/gistbok/2019.1.9

Filières-Riveau, V. Barra, J.-M. Favreau, G., Touya G. 2019. Enrichissement d'orthophotographie par des données OpenStreetMap pour l'apprentissage machine. SAGEO 2019, Clermont-Ferrand.

• Pierkot C., Christophe S., Girres J-F. 2019. Exploring multiplexing tools for co-visualization in crisis units. 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) Valencia, Spain, May 19-22. p.403-420.

Touya G., Xiang Z., and Lokhat I. 2019. ‘Is Deep Learning the New Agent for Map Generalization?’ International Journal of Cartography, 9 May 2019, 1–16. https://doi.org/10.1080/23729333.2019.1613071

2018

Biasutti P., Aujol J.F., Brédif M., Bugeau A. 2018. Diffusion and inpainting of reflectance and height LiDAR orthoimages. Computer Vision and Image Understanding, Elsevier, 2018. doi:10.1016/j.cviu.2018.10.011 (ISSN 1077-3142)

Biasutti P., Aujol J.F., Brédif M., Bugeau A. 2018. Range-Image: Incorporating sensor topology for LiDAR point cloud processing. PE&RS Photogrammetric Engineering & Remote Sensing, ASPRS American Society for Photogrammetry and Remote Sensing, 2018, 84 (6), pp.367--375. <10.14358/PERS.84.6.367>.

Devaux, A., C. Hoarau, M. Brédif and S. Christophe. 2018. 3D urban geovisualization: in situ augmented and mixed reality experiments. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Touya G., Christophe S., Favreau J. M., and Rhaiem A. B. 2018. ‘Automatic Derivation of On-Demand Tactile Maps for Visually Impaired People: First Experiments and Research Agenda’. International Journal of Cartography, 2018. https://doi.org/10.1080/23729333.2018.1486784.