3 Search Results for "Touya, Guillaume"

Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.23
Does Generalisation Matters in Pan-Scalar Maps? (Short Paper)

Authors: Azelle Courtial and Guillaume Touya

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
Maps and their usage have widely evolved recently, to become more and more interactive, multi-scale and accessible. However, the design of maps did not change so much, leading to the following two problems: (1) in theory, it is not formalised how to create a good map in this context, (2) in practice, the most used maps are not good considering the quality criteria defined for the classical (static) maps. Therefore, it is necessary to question the usefulness of these principles in this new context. In this article, we focus on the role of cartographic generalisation in maps where one can easily zoom in and out to make information accessible. We draw up a list of hypotheses on the role of generalisation for pan-scalar maps, based on both a deductive approach (the role of map generalisation is deduced from a review of human-maps interactions), and an inductive approach (observation of maps with diverse qualities). Then, we discuss how these hypotheses might be experimentally verified.
Cite as

Azelle Courtial and Guillaume Touya. Does Generalisation Matters in Pan-Scalar Maps? (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 23:1-23:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{courtial_et_al:LIPIcs.GIScience.2023.23,
  author =	{Courtial, Azelle and Touya, Guillaume},
  title =	{{Does Generalisation Matters in Pan-Scalar Maps?}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{23:1--23:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.23},
  URN =		{urn:nbn:de:0030-drops-189181},
  doi =		{10.4230/LIPIcs.GIScience.2023.23},
  annote =	{Keywords: map generalisation, cartography, pan-scalar map, multi-scale map, spatial cognition}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.73
The FogDetector: A User Survey to Measure Disorientation in Pan-Scalar Maps (Short Paper)

Authors: Guillaume Touya and Justin Berli

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
When we navigate into interactive multi-scale maps that we call pan-scalar maps, it is usual to feel disoriented. This is partly due to the fact that map views do not always contain visual cues of the location of the past map views of the navigation. This paper presents an online study that seeks to understand and measure this disorientation occurring when zooming in or out of a pan-scalar map. An online study was designed and more than 150 participants finished the survey. The study shows a very small difference between the time to succeed in the memorising task after a zoom and a pan, but the difference is more significant when we compare zooming in with a large scale gap to panning. The study also shows that disorientation is not similar when zooming in and zooming out.
Cite as

Guillaume Touya and Justin Berli. The FogDetector: A User Survey to Measure Disorientation in Pan-Scalar Maps (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 73:1-73:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@InProceedings{touya_et_al:LIPIcs.GIScience.2023.73,
  author =	{Touya, Guillaume and Berli, Justin},
  title =	{{The FogDetector: A User Survey to Measure Disorientation in Pan-Scalar Maps}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{73:1--73:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.73},
  URN =		{urn:nbn:de:0030-drops-189686},
  doi =		{10.4230/LIPIcs.GIScience.2023.73},
  annote =	{Keywords: disorientation, zoom, pan, multi-scale map, desert fog, user survey}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.61
Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach (Short Paper)

Authors: Quy Thy Truong, Guillaume Touya, and Cyril de Runz

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Vandalism is a phenomenon that has affected by now the digital domain, in particular in the context of Volunteered Geographic Information projects. This paper aims at proposing a methodology to detect vandalism in the OpenStreetMap project. First, an analysis of related works sheds light on the lack of consensus when it comes to defining vandalism in VGI from both conceptual and practical points of view. Second, we present experiments on the use of clustering-based outlier detection methods to identify vandalism in OSM. The outcome of this study focuses on choosing the right variables when it comes to detecting vandalism in OSM.
Cite as

Quy Thy Truong, Guillaume Touya, and Cyril de Runz. Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 61:1-61:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{truong_et_al:LIPIcs.GISCIENCE.2018.61,
  author =	{Truong, Quy Thy and Touya, Guillaume and de Runz, Cyril},
  title =	{{Towards Vandalism Detection in OpenStreetMap Through a Data Driven Approach}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{61:1--61:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.61},
  URN =		{urn:nbn:de:0030-drops-93897},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.61},
  annote =	{Keywords: Vandalism, Volunteered Geographic Information, Outlier detection}
}
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