Guillaume Touya
Biographic Data
| ID | 6746282 |
|---|---|
| NAME | Guillaume Touya |
| GIVEN NAMES | Guillaume |
| FAMILY NAME | Touya |
| SIGNATURE | TOUYA G |
| AFFILIATIONS | Université Gustave Eiffel |
| ORCID | 0000-0001-6113-6903 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The good map – a benchmark generalized multi-scale map
There is a vast research literature for automating the production of topographic map series at 1:25k or 1:50k scales with map generalization. But these maps are being replaced by pan-scalar maps where map generalization is not used that much, partly due to a common belief that generalization is not necessary anymore. This paper addresses this common belief by presenting The Good Map, a benchmark pan-scalar map, mimicking the style of Google Maps,…
Staring at the pointer - gaze behavior when people zoom and pan in maps
International audience
Understanding the Carbon Footprint of Tile Transfer for Web Maps
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 energy consumption, we first need to better understand the different sources of energy consumption for web maps. Among these sources, this paper focuses on the tiles that are stored on servers and then constantl…
Machine learning in cartography
International audience
Where Am I Now? Modelling Disorientation in Pan-Scalar Maps
Disorientation is a common feeling for all users of zoomable multi-scale maps, even for those with good orientation and spatial skills. We make the assumption that this problem is mainly due to the desert fog effect, documented in human–computer interaction within multi-scale zoomable environments. Starting with a collection of reported experiences of disorientation, this paper explores this notion from the spatial cognition, philosophical and hu…
DeepMapScaler: A workflow of deep neural networks for the generation of generalised maps
International audience
Experiencing virtual geographic environment in urban 3D participatory e-planning: A user perspective
The adoption of technology in urban participatory planning with tools such as Virtual Geographic Environments (VGE) promises a broader engagement of urban dwellers, which should ultimately lead to the creation of better cities. However, the authorities and urban experts show hesitancy in endorsing these tools in their practices. Indeed, several parameters must be wisely considered in the design of VGE; if misjudged, their impact could be damaging…
Semi-automatic development of thematic tactile maps
Tactile cartography has always been a niche topic, but even among tactile cartographers, little attention has been paid to thematic tactile maps. Thematic maps are used in education and the lack of such materials makes it difficult to fulfill particular subjects' curriculums. In this research, we propose a methodology for automatic compilation of legible and cartographically sound educational thematic tactile maps that bases on the concept of anc…
Geographically masking addresses to study Covid-19 clusters
International audience
A Change of Theme: The Role of Generalization in Thematic Mapping
Cartographic generalization research has focused almost exclusively in recent years on topographic mapping, and has thereby gained an incorrect reputation for having to do only with reference or positional data. The generalization research community needs to broaden its scope to include thematic cartography and geovisualization. Generalization is not new to these areas of cartography, and has in fact always been involved in thematic geographic vi…
Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation
Among cartographic generalisation problems, the generalisation of sinuous bends in mountain roads has always been a popular one due to its difficulty. Recent research showed the potential of deep learning techniques to overcome some remaining research problems regarding the automation of cartographic generalisation. This paper explores this potential on the popular mountain road generalisation problem, which requires smoothing the road, enlarging…
OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier
Though Volunteered Geographic Information (VGI) has the advantage of providing free open spatial data, it is prone to vandalism, which may heavily decrease the quality of these data. Therefore, detecting vandalism in VGI may constitute a first way of assessing the data in order to improve their quality. This article explores the ability of supervised machine learning approaches to detect vandalism in OpenStreetMap (OSM) in an automated way. For t…
Clutter and Map Legibility in Automated Cartography: A Research Agenda
The clutter effect occurs when there is an excessive amount of information in a map or when this information is disorganized. Measurement of clutter is essential to improve the quality of outputs produced using automated cartographic systems. This paper reviews some existing methods for measuring clutter from different research communities, highlighting the lack of suitable methods for use in automated map design. Three use cases are presented to…
Detecting Level-of-Detail Inconsistencies in Volunteered Geographic Information Data Sets
Whereas defining the level of detail (LoD) of authoritative data sets is possible, the opposite is true for volunteered geographic information (VGI), which is often characterized by heterogeneous LoDs. This heterogeneity is a curb for map-making, particularly when using traditional map derivation processes such as generalization. This paper proposes a method to infer the LoD of VGI features. Then, inconsistencies between features with different L…
ScaleMaster 2.0: A ScaleMaster extension to monitor automatic multi-scales generalizations
International audience
Quality Assessment of the French OpenStreetMap Dataset
The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users. Spatial data quality becomes a key consideration in this context of freely downloadable geographic databases. This article studies the quality of Fre…
Geographically masking addresses to study Covid-19 clusters
International audience
Machine learning in cartography
International audience
Semi-automatic development of thematic tactile maps
Tactile cartography has always been a niche topic, but even among tactile cartographers, little attention has been paid to thematic tactile maps. Thematic maps are used in education and the lack of such materials makes it difficult to fulfill particular subjects' curriculums. In this research, we propose a methodology for automatic compilation of legible and cartographically sound educational thematic tactile maps that bases on the concept of anc…
Quality Assessment of the French OpenStreetMap Dataset
The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users. Spatial data quality becomes a key consideration in this context of freely downloadable geographic databases. This article studies the quality of Fre…
Detecting Level-of-Detail Inconsistencies in Volunteered Geographic Information Data Sets
Whereas defining the level of detail (LoD) of authoritative data sets is possible, the opposite is true for volunteered geographic information (VGI), which is often characterized by heterogeneous LoDs. This heterogeneity is a curb for map-making, particularly when using traditional map derivation processes such as generalization. This paper proposes a method to infer the LoD of VGI features. Then, inconsistencies between features with different L…
ScaleMaster 2.0: A ScaleMaster extension to monitor automatic multi-scales generalizations
International audience
Clutter and Map Legibility in Automated Cartography: A Research Agenda
The clutter effect occurs when there is an excessive amount of information in a map or when this information is disorganized. Measurement of clutter is essential to improve the quality of outputs produced using automated cartographic systems. This paper reviews some existing methods for measuring clutter from different research communities, highlighting the lack of suitable methods for use in automated map design. Three use cases are presented to…
A Change of Theme: The Role of Generalization in Thematic Mapping
Cartographic generalization research has focused almost exclusively in recent years on topographic mapping, and has thereby gained an incorrect reputation for having to do only with reference or positional data. The generalization research community needs to broaden its scope to include thematic cartography and geovisualization. Generalization is not new to these areas of cartography, and has in fact always been involved in thematic geographic vi…
Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation
Among cartographic generalisation problems, the generalisation of sinuous bends in mountain roads has always been a popular one due to its difficulty. Recent research showed the potential of deep learning techniques to overcome some remaining research problems regarding the automation of cartographic generalisation. This paper explores this potential on the popular mountain road generalisation problem, which requires smoothing the road, enlarging…
OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier
Though Volunteered Geographic Information (VGI) has the advantage of providing free open spatial data, it is prone to vandalism, which may heavily decrease the quality of these data. Therefore, detecting vandalism in VGI may constitute a first way of assessing the data in order to improve their quality. This article explores the ability of supervised machine learning approaches to detect vandalism in OpenStreetMap (OSM) in an automated way. For t…
Geographically masking addresses to study Covid-19 clusters
International audience
Experiencing virtual geographic environment in urban 3D participatory e-planning: A user perspective
The adoption of technology in urban participatory planning with tools such as Virtual Geographic Environments (VGE) promises a broader engagement of urban dwellers, which should ultimately lead to the creation of better cities. However, the authorities and urban experts show hesitancy in endorsing these tools in their practices. Indeed, several parameters must be wisely considered in the design of VGE; if misjudged, their impact could be damaging…
Semi-automatic development of thematic tactile maps
Tactile cartography has always been a niche topic, but even among tactile cartographers, little attention has been paid to thematic tactile maps. Thematic maps are used in education and the lack of such materials makes it difficult to fulfill particular subjects' curriculums. In this research, we propose a methodology for automatic compilation of legible and cartographically sound educational thematic tactile maps that bases on the concept of anc…
Where Am I Now? Modelling Disorientation in Pan-Scalar Maps
Disorientation is a common feeling for all users of zoomable multi-scale maps, even for those with good orientation and spatial skills. We make the assumption that this problem is mainly due to the desert fog effect, documented in human–computer interaction within multi-scale zoomable environments. Starting with a collection of reported experiences of disorientation, this paper explores this notion from the spatial cognition, philosophical and hu…
DeepMapScaler: A workflow of deep neural networks for the generation of generalised maps
International audience
Machine learning in cartography
International audience
Understanding the Carbon Footprint of Tile Transfer for Web Maps
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 energy consumption, we first need to better understand the different sources of energy consumption for web maps. Among these sources, this paper focuses on the tiles that are stored on servers and then constantl…
The good map – a benchmark generalized multi-scale map
There is a vast research literature for automating the production of topographic map series at 1:25k or 1:50k scales with map generalization. But these maps are being replaced by pan-scalar maps where map generalization is not used that much, partly due to a common belief that generalization is not necessary anymore. This paper addresses this common belief by presenting The Good Map, a benchmark pan-scalar map, mimicking the style of Google Maps,…
Staring at the pointer - gaze behavior when people zoom and pan in maps
International audience
Computer Science (14 works) · Geographic Information Systems Studies (9 works) · Geography (9 works) · Artificial Intelligence (8 works) · Cartography (7 works) · Data mining (7 works) · Data science (7 works) · Data Management and Algorithms (6 works) · Generalization (6 works) · Engineering (5 works)