Guillaume Touya
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Author Swipe
A three-in-one tool for cartographic generalization with the new version of CartAGen Open
The lack of open and free tools for cartographic generalisation restricts the use of generalization techniques to National Mapping Agencies that can afford the development of custom processes based on software such as ArcGIS. For the other…
Level of detail matters: machine learning based river selection across Polish and French data Open
workshop
The role of map generalisation in the context of thematic multiscale cartography Open
workshop
Understanding the Carbon Footprint of Tile Transfer for Web Maps Open
As web maps are now extensively used by billions of users, the energy consumption of these maps is not marginal anymore. Green cartography seeks to reduce the energy consumption of maps to promote more sustainable digital tools. To reduce …
Entity Linking for real-time geolocation of natural disasters from social network posts Open
When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly understand the extent of the situation, especially through the development of “big picture” maps. For many years, great efforts have been made to use s…
A Practical Use Case of Large Scale Tactile Map Design Open
workshop
Recording the Use of InteractiveWeb Maps with ZoomTracker Open
short
Strategies for pan-scalar map generalisation Open
short
Browsing Map Browsers Open
short
Enriching river network data for multi-scale machine learning based selection: a case study of Poland and France Open
short
Exploring new ways to zoom in maps Open
short
Exploring the presence and persistence of cartographic anchors in pan-scalar maps Open
International audience
A methodological inquiry for anchoring pan-scalar maps Open
This paper reports two experiments for the design of anchored pan-scalar maps. Anchoring pan-scalar maps means improving the saliency and memorability of some cartographic elements, i.e. the pan-scalar anchors, to enhance the navigational …
EyeCatchingMaps, a Dataset to Assess Saliency Models on Maps Open
Saliency models try to predict the gaze behaviour of people in the first seconds of their observation of an image. To assess how much these models can perform to predict saliency in maps, we lack a ground truth to compare to. This paper pr…
Geolocating Bees by Translating the Waggle Dance Into Spatial Coordinates Open
Bees can communicate the location of interesting resources to forage to their nestmates by performing what we call a waggle dance. Being able to precisely decode the information conveyed with waggle dances would help biologists, ecologists…
Explore maps as you read a comic book Open
While maps have been evolving towards more interactivity and pan-scalar display, their design did not change this much, lacking progressiveness between the numerous maps at different zoom levels. Drawing inspiration from the well-establish…
Machine learning in cartography Open
Machine learning is increasingly used as a computing paradigm in cartographic research. In this extended editorial, we provide some background of the papers in the CaGIS special issue Machine Learning in Cartography with a special focus on…
More is less - Adding zoom levels in multi-scale maps to reduce the need for zooming interactions Open
When you zoom in or out of current multi-scale cartographic applications, it is common to feel lost and disoriented for a few seconds because dimensions and map symbols have changed. To make the exploration of these multi-scale maps more f…
Anchorwhat dataset Open
- 01_RAW_DATA contains 2 CSV files: the first contains all drawings used for the analyse, the second all participations. We made attribute join on session - 02_MAP_DRAWING contains all drawings split by view (location, style, zoom). - 03_D…
Anchorwhat dataset Open
- 01_RAW_DATA contains 2 CSV files: the first contains all drawings used for the analyse, the second all participations. We made attribute join on session - 02_MAP_DRAWING contains all drawings split by view (location, style, zoom). - 03_D…
DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps Open
International audience
Material of the experiment "More is Less" from the MapMuxing project Open
This dataset contains the material of a user survey presented in the paper " More is Less - Adding Zoom Levels in Multi-Scale Maps to Reduce the Need for Zooming Interactions". There are several files in the dataset: the Tiles.zip containe…
Material of the experiment "More is Less" from the MapMuxing project Open
This dataset contains the material of a user survey presented in the paper " More is Less - Adding Zoom Levels in Multi-Scale Maps to Reduce the Need for Zooming Interactions". There are several files in the dataset: the Tiles.zip containe…
Experiments in the automatic segmentation of anchors using deep learning techniques Open
workshop
Text-to-map generation: an exploration of current potentials Open
workshop
Salient building detection using multimodal deep learning Open
workshop
Semi-automatic development of thematic tactile maps Open
workshop
Anchorwhat dataset Open
In this research, we are interested in the use of what we call pan-scalar maps, i.e. interactive, zoomable, multi-scale maps such as Google Maps. It is frequent to feel disorientation when we use these pan-scalar maps, and the absence of c…
Anchorwhat dataset Open
In this research, we are interested in the use of what we call pan-scalar maps, i.e. interactive, zoomable, multi-scale maps such as Google Maps. It is frequent to feel disorientation when we use these pan-scalar maps, and the absence of c…