Data scale as cartography
A semi-automatic approach for thematic web map creation
Bibliographic Data
| ID | 12750730 |
|---|---|
| Authors | Auriol Degbelo (0000-0001-5087-8776, University of Münster, corresponding author), Saad Sarfraz (0000-0001-8198-0570, University of Münster), Christian Kray (0000-0002-4199-8976, University of Münster) |
| Year | 2019 |
| Volume | 47 |
| Issue | 2 |
| Pages | 153-170 |
| Publication date | 2019-11-05 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/15230406.2019.1677176 |
| OpenAlex | W2985674070 |
| Language | EN |
| References cited | 56 |
Open government promises increased transparency by providing its citizens datasets about city processes. Open data portals have been emerging all over the world as mines of open geographic datasets. Thematic web maps are key to understanding these open geographic datasets. Current thematic web maps are created by programmers and/or cartographers, and thus are not designed to be easily reused with new geographic datasets. As a result, they pose several challenges to non-experts wanting to adapt them to new scenarios. This article introduces a semi-automatic approach for the creation of thematic web maps by and for users with no prior training in cartography. The approach relies on the mapping between Stevens’ data types and Bertin’s visual variables, to suggest (meaningful) thematic map visualizations for a given input geographic dataset. It was implemented as a web prototype in AngularJS and evaluated with 19 participants. Results from the user study suggest that despite facing a few challenges in accurately identifying Stevens’ data types, participants managed to successfully create web maps and correctly answer spatial questions. The prototype and insights gathered from the user study are relevant to making cartographic products more accessible to a broader population, and open geographic data more usable in the context of an open government
Cartography · Context (archaeology · Data mining · Data science · Data Web · Geography · Geovisualization · Information visualization · Linked Data · Open data · Open government · Semantic Web · Thematic map · USable · Visualization · Volunteered Geographic Information · Web mapping · Web service · World Wide Web · Computer Science · Data Management and Algorithms · Data Visualization and Analytics · Geographic Information Systems Studies
Visual Variables
Color Theory
On the Theory of Scales of Measurement
ColorBrewer.org
An Empirical Evaluation of the System Usability Scale
The System Usability Scale
The Measurement of Observer Agreement for Categorical Data
Saturation in qualitative research
Space in Mind
Utilization of open government data
From taxonomies to ontologies
SensePlace3
Measured and perceived visual complexity
Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data
(Re)Considering Bertin in the age of big data and visual analytics
A Transition in Improving Maps
Web Cartography in the United States
Elements of viral cartography
Revisiting Web Cartography in the United States
How user-friendly are online interactive maps? Survey based on experiments with heterogeneous users
A study on the use of visualizations for Open Government Data
| Highly cited | No |
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