Sign in
Ctrl K

Algorithmic Geo-visualization

From theory to practice

Image: A world map showcasing a variety of thematic mapping techniques.

Visual representations, often in the form of maps, are one of the most effective ways for humans to interact with large data sets; they aid with complex cognitive tasks such as discovery and decision making. Information visualization plays a key role in exploring, analyzing and communicating large quantities of data.

Time-varying and dynamic data sets (for example, stock prices, traffic status, or weather) remain a challenge for most visualization algorithms. A primary requirement is stability: small changes in the data should lead to small changes in the visualization. Without stability, there is no cohesion between two visualizations showing similar data, which makes them difficult to interpret.

Visual analysis tools should be easily accessible to allow domain scientists across all areas, specialists and even the general public to explore, analyze and communicate data. However, many cutting-edge geo-visualization techniques are not available in an easy-to-use form; they exist at best as research proof-of-concept implementations. Furthermore, techniques for stable visualizations of dynamic data are still mostly lacking.

This project has two goals:

Develop two eScience tools (an online platform and a code library) to move advanced information-visualization and mapping techniques from theoretic concepts to practical tools, thereby increasing their impact through reusability

Significantly extend the state-of-the-art by developing stable geo-visualizations that can handle large quantities of time-varying data

Participating organisations

Natural Sciences & Engineering
Natural Sciences & Engineering
Eindhoven University of Technology
Netherlands eScience Center

Impact

Output

Team

BS
Bettina Speckmann
Principal investigator
Eindhoven University of Technology
JW
Jules Wulms
Phd student
Eindhoven University of Technology
KV
Kevin Verbeek
Principal investigator
Eindhoven University of Technology
Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center
Thijs van Lankveld
Thijs van Lankveld
eScience Research Engineer
Netherlands eScience Center
WM
Wouter Meulemans
Postdoctoral researcher
Technische Universiteit Eindhoven

Related projects

Enhance Your Research Alliance (EYRA) Benchmark Platform

Supporting researchers to easily set-up benchmarks

Updated 14 months ago
Finished

GlamMap

Visual analytics for the world’s library data

Updated 14 months ago
Finished

Visual Storytelling of Big Imaging Data

Storytelling as a means of visual data communication

Updated 16 months ago
Finished

DynaSlum

Data-driven modeling and decision support for slums

Updated 18 months ago
Finished

Error Detection and Error Localization

Approaches for radio telescope system health management

Updated 9 months ago
Finished

Big Data Analytics in the Geo-Spatial Domain

Empowering geo-spatial analytics with database technology

Updated 14 months ago
Finished

e-Visualization of Big Data

Interactive big data visualizations

Updated 15 months ago
Finished