Next Article in Journal
Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model
Previous Article in Journal
Manifestation of an Analytic Hierarchy Process (AHP) Model on Fire Potential Zonation Mapping in Kathmandu Metropolitan City, Nepal
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2015, 4(2), 418-446; doi:10.3390/ijgi4020418

Analytical Estimation of Map Readability

1
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62 Lund, Sweden
2
Department of Geography, Faculty of Science and Mathematics, University of Nis, Visegradska 33, 18000 Nis, Serbia
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 6 November 2014 / Revised: 4 February 2015 / Accepted: 5 March 2015 / Published: 27 March 2015
View Full-Text   |   Download PDF [1698 KB, uploaded 31 March 2015]   |  

Abstract

Readability is a major issue with all maps. In this study, we evaluated whether we can predict map readability using analytical measures, both single measures and composites of measures. A user test was conducted regarding the perceived readability of a number of test map samples. Evaluations were then performed to determine how well single measures and composites of measures could describe the map readability. The evaluation of single measures showed that the amount of information was most important, followed by the spatial distribution of information. The measures of object complexity and graphical resolution were not useful for explaining the map readability of our test data. The evaluations of composites of measures included three methods: threshold evaluation, multiple linear regression and support vector machine. We found that the use of composites of measures was better for describing map readability than single measures, but we could not identify any major differences in the results of the three composite methods. The results of this study can be used to recommend readability measures for triggering and controlling the map generalization process of online maps. View Full-Text
Keywords: cartography; map readability; usability; user test; supervised learning cartography; map readability; usability; user test; supervised learning
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary materials

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Harrie, L.; Stigmar, H.; Djordjevic, M. Analytical Estimation of Map Readability. ISPRS Int. J. Geo-Inf. 2015, 4, 418-446.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top