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eXplorer applications


Other external Techniques and Applications

Our focus has been on statistical data visualization (eXplorer) but we have further implemented and evaluated our Visual Analytics techniques (GAV) and applications through our partnerships:

  • Industry (national and international)
  • Government agencies
  • Academia (national and international)

NCVA addresses several application areas:

  • VA in Market, Product and Consumer research – for example analysing ingredient mixtures in consumer products and long-term product sustainability (Unilever).
  • VA in Cellular radio networks – Continually growing in both node count and complexity. Advanced GAV tools can assist the operators to manage the networks (Ericsson).
  • Geovisual Analytics – Analysis of official population statistics, sustainability analysis, health/census, global warming. An important aim here is to increase the use of geovisual analytics tools, broaden the user community and application scope (OECD, Eurostat, SCB, SMHI).
  • Disaster & Emergency Management – GAV toolkit is suitable for developing highly interactive and tailor-made geovisual analytics applications applied in disaster and emergency management (SMHI).
  • Logistics Visualization – The transportation sector is becoming a challenging application domain for VA. For example, the performance of worldwide container shipping related to different weather scenarios defined will be analysed (SMHI).

More information about the GAV toolkit is available here

Example of GAV Applications


GAV applied to Weather and Ship Data

The shipping industry has a need to draw accurate conclusions and make well planned decisions regarding routes and weather factors. There are a large number of variables affecting the success of every sea voyage performed by vessels such as cargo ships. Important aspects being considered are speed, safety and costs because of their direct impact on the voyage performance. Weather factors are the main concern when considering these aspects and therefore shipping companies consult meteorologists about weather information and route optimization. Ship and Weather Information Monitoring (SWIM) was created to aid shipping companies monitoring vessels according to forecasted weather development along planned routes (figure). SWIM provides support for decisions regarding route choice with respect to future weather development and warnings of extreme weather factors. With weather forecasts and voyage information provided by the European Centre for Medium- Range Weather Forecasts (ECMWF)and SMHI shipping companies can monitor fleets using highly interactive visual representations visualizing weather parameters and detailed voyage information. Using a geographic map visualization together with a parallel coordinates plot brings great possibilities when exploring the data.

SWIM was designed with the following tasks in mind:
• Detailed monitoring of voyages based on planned and reported waypoints.
• Easy exploration of weather forecast according to both geographic positions and along routes.
• Using a PCP together with geographic map visualization to find interesting voyages according to weather parameters.
• Using highly interactive linked visual representations to facilitate exploration of data.

SMHI ship and weather

Figure: In the world map ships are visualized using glyphs and their routes are plotted as lines. Significant wave height is displayed using an iso-surface where warmer color indicates higher waves. The current time step can be changed using the time slider positioned underneath the world map. Using the weather parameter menu to the left the user can select which parameter to visualize and which representation to use. At the bottom weather parameters are plotted in the parallel coordinates plot

See SWIM video demo







GAV for Mobile Communication Network Management


This applied research project is cooperation between NCVA and Ericsson Research facilitating a strong synergy between world-leading visualization technology and management of mobile communication networks. The project targets Visual Analytics, where novel techniques are being developed and applied to smart network management prototypes for mobile communication networks. Research focuses on network management applications for mobile communication networks in 3GPP defined systems, such as Long Term Evolution (LTE). Additionally, the project targets operator-promoted Self-Organizing Networks (SON) features, which manage the complexity in large networks. The overall objective of the project is to prototype smarter network management applications for mobile communication networks. The system shall assist the operators in a smart way. The input to the system is a voluminous real-time flow of spatial-temporal and multivariate information with an objective to high-light the important problems to the operator, utilizing advanced visualization and data-mining techniques. Thus, the information is interpreted and transferred to the operator in a suitable way, which improves the comprehensibility and reliability. Particularly, it is important to provide operators with a system that ensure trust in automatic SON features in the mobile communication network, which are means to cope with the high complexity of today’s networks. The system shall be scalable from smaller networks up to networks with thousands of nodes. To the operator, the application shall be perceived as one integrated solution, although the network may comprise a multitude of radio-access-technologies (multi-RAT), like GSM, WCDMA and LTE, standardized by 3GPP. As a world leading supplier of communications networks, Ericsson is ramping up its efforts in the area of Visual Analytics with special focus on SON features in LTE. Last year feasibility study show overwhelming reactions from operators and a first prototype has been used in academic and commercial presentations, panel boards and customer face to face meetings. A joined scientific research paper was presented at the IEEE VAST 2009 conference in the US.

ANROSS project

Figure: Example of the ANROSS user interface with two layered map views with glyph support and a parallel coordinate plot for analysing relations between cells.

GAV applied to a Road Warning Prediction System


The large and ever-increasing amounts of time-varying and geospatial digital weather information related to emergency scenarios that must be accessible to the public represent a major research challenge. A need to analyze and make decisions, often in time-critical situations, demand interactive web-enabled visualization tools that can aid the user to explore, communicate and publish visually large geo-information spaces. Geovisual analytics is an emerging research task facilitating dynamic time-linked visual representations that enable the users to simultaneously analyse relations among several different attributes with the aim to augment an analyst and decision-maker capabilities to assimilate complex situations and reach important knowledge. In this context, we introduce a web-enabled application for road weather visualization, a tool for analyzing and communicating information about road weather conditions particularly during the Swedish winter months. RoadVis is customized in close collaboration with domain experts from Swedish Meteorological and Hydrological Institute (SMHI) and the Swedish road administration facilitating a collection of dynamic map, weather and information visualization methods integrated with the Adobe© Flash© and Flex© development platform.



Figure: RoadVis multi-linked visual user interface, where a station, represented by a circle, is here coloured according to temperature. Meteorological diagrams are shown for two selected stations in the map. A parallel coordinates plot makes dynamic inquires and filter the multivariate weather data. A time slider controls time steps for the time-linked views.




Page manager: mikael.jern@liu.se
Last updated: 2016-09-20