Next Article in Journal
Template-Based 3D Road Modeling for Generating Large-Scale Virtual Road Network Environment
Previous Article in Journal
Expressing History through a Geo-Spatial Ontology
Previous Article in Special Issue
Performance Testing on Marker Clustering and Heatmap Visualization Techniques: A Comparative Study on JavaScript Mapping Libraries

User Evaluation of Map-Based Visual Analytic Tools

Department of Geoinformatics, Faculty of Science, Palacký University in Olomouc, 17. listopadu 50, 771 46 Olomouc, Czech Republic
Department of Geography, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
Grammar School Brno-Řečkovice, Terezy Novákové 2, 621 00 Brno, Czech Republic
Plan4All, K Rybníčku 557, 330 12 Horní Bříza, Czech Republic
InnoConnect, Fialková 1026/16, 326 00 Plzeň, Czech Republic
HELP SERVICE – REMOTE SENSING Ltd., Husova 2117, 256 01 Benešov, Czech Republic
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(8), 363;
Received: 7 June 2019 / Revised: 25 July 2019 / Accepted: 7 August 2019 / Published: 20 August 2019
(This article belongs to the Special Issue Smart Cartography for Big Data Solutions)
Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization of the conducted eye-tracking experiment, in which three map-based visual analytics tools were tested in terms of user-friendliness. A set of recommendations on GUI (graphical user interface) design and interactive functionality for map makers is formulated on the basis of the discovered errors and shortcomings in the assessed stimuli. The results of the verification were used as inputs for improving the three tested map-based visual analytics tools and might serve as a best practice for map-based visual analytics tools in general, as well as for improving the policy making cycle as elaborated by the European project PoliVisu (Policy Development based on Advanced Geospatial Data Analytics and Visualization). View Full-Text
Keywords: eye-tracking; interactive map; PoliVisu; usability; visual analytics; WebGLayer; HSLayers NG eye-tracking; interactive map; PoliVisu; usability; visual analytics; WebGLayer; HSLayers NG
Show Figures

Figure 1

MDPI and ACS Style

Popelka, S.; Herman, L.; Řezník, T.; Pařilová, M.; Jedlička, K.; Bouchal, J.; Kepka, M.; Charvát, K. User Evaluation of Map-Based Visual Analytic Tools. ISPRS Int. J. Geo-Inf. 2019, 8, 363.

AMA Style

Popelka S, Herman L, Řezník T, Pařilová M, Jedlička K, Bouchal J, Kepka M, Charvát K. User Evaluation of Map-Based Visual Analytic Tools. ISPRS International Journal of Geo-Information. 2019; 8(8):363.

Chicago/Turabian Style

Popelka, Stanislav, Lukáš Herman, Tomas Řezník, Michaela Pařilová, Karel Jedlička, Jiří Bouchal, Michal Kepka, and Karel Charvát. 2019. "User Evaluation of Map-Based Visual Analytic Tools" ISPRS International Journal of Geo-Information 8, no. 8: 363.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop