Next Article in Journal
Preparation for Working in a Knowledge-Based Society: New Zealand Student Nurses’ Use of Social Media
Previous Article in Journal
Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables
Article Menu

Export Article

Open AccessArticle
Informatics 2017, 4(1), 6; doi:10.3390/informatics4010006

Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty

Institute of Computer Science, University of Rostock, A.-Einstein-Str. 22, Rostock D-18059, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Parsons
Received: 1 December 2016 / Revised: 23 January 2017 / Accepted: 31 January 2017 / Published: 8 February 2017
View Full-Text   |   Download PDF [23577 KB, uploaded 8 February 2017]   |  

Abstract

Visualizing geo-spatial data embedded into a three-dimensional terrain is challenging. The problem becomes even more complex when uncertainty information needs to be presented as well. This paper addresses the question of how to visually communicate all three aspects: the 3D terrain, the geo-spatial data, and the data-associated uncertainty. We argue that visualizing all aspects with a high degree of detail will likely exceed the visual budget. Therefore, we propose a visualization strategy based on prioritizing a selected aspect and presenting the remaining two with less detail. We discuss various design options that allow us to obtain differently prioritized visual representations. Our approach has been implemented as a tool for rapid visualization prototyping in the context of avionics applications. Practical solutions are described for a use case related to the visualization of 3D terrain and uncertain weather data. View Full-Text
Keywords: visualization; terrain rendering; geo-spatial data; uncertainty; prioritization visualization; terrain rendering; geo-spatial data; uncertainty; prioritization
Figures

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).

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

Dübel, S.; Röhlig, M.; Tominski, C.; Schumann, H. Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty. Informatics 2017, 4, 6.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top