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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...
Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more difficult to manage the networks and necessary to use time and cost effective automatic algorithms to organize the networks neighbor cell relations. There have been a number of attempts to develop such automatic algorithms. Network operators, however, may not trust them because they need to...
Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more and more difficult to manage the networks and necessary to use time and cost effective automatic computer algorithms to organize the network's neighbor cell relations. Ericsson has developed such an algorithm, called automatic neighbor relations (ANR), which solves a part of this problem by...
The complex nature of multivariate data sets calls for high interactive performance and intuitive metaphors. A specific type of multivariate data is where the variables sum up to a constant, here defined as multicomponent data. This application paper presents an interactive application for analysis of modeled multicomponent data. The aim is to find high performance variable combinations that fulfill...
An emerging and challenging Geovisual Analytics application domain is visualization of hierarchical regional (sub-national) statistics. The OECD regional database is a potential treasure chest for policy-makers, researchers and citizens to gain a better understanding of a regionpsilas structure and performance and to carry out analysis of territorial trends and disparities based on sound information...
This paper demonstrates the synergy of common InfoVis and GeoVis interaction techniques and the logistic application domain demonstrated in the customized visualize performance data (VISPER) application. In VISPER multi-dimensional, multi-source, time-varying and geospatial digital information from voyage analysis is represented to facilitate decision-making. Using common InfoVis components for multivariate...
Geovisual analytics focuses on finding location-related patterns and relationship. Many approaches exist but generally do not scale well with large spatial datasets. We propose three enhancements that facilitate scalable geovisual analytics of voluminous geospatial data based on geographic mapping coordinated and linked with parallel coordinates (PC): 1) texture-based geographic mapping that exploits...
In this paper we present novel means to communicate and present gained knowledge using semi-guided interactive visualizations embedded in standard HTML documents. The goal of the work is to let the analyst (author) explore data and simultaneously save important discoveries and thus enable collaboration and sharing of gained insights over the Internet. The readers of the document will benefit from...
Data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables. Quantification of categorical variables makes it possible to represent this type of data using techniques designed for numerical data. This paper presents a quantification process of categorical variables in...
In this paper, we extend our generic ldquoGeoAnalyticsrdquo visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), to also support time-oriented, geographically referenced and multivariate attribute volumetric data. GAV includes components that support a mixture of technologies from the three data visualization fields: information visualization (InfoVis), geovisualization...
Implementing InfoVis multivariate data tools, timelinked coordinated views and visual dynamic queries with conditioning from scratch is not a simple programming task. Our research objective is to develop a generic GeoAnalytics visualization (GAV) component toolkit, based on the principles behind visual analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate...
We introduce our generic "GeoAnalytics" visualization (GAV) component toolkit, based on the principles behind visual analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attribute data. GAV includes components that supports a mixture of technologies from the three visualization fields; information visualization, geovisualization and scientific...
Geovisualization (GeoViz) is an intrinsically complex process. The analyst needs to look at data from various perspectives and at various scales, from "seeing the whole" to "attending to particulars " (Andrienko and Andrienko 2006). The analyst is also supposed to "see in relation", i.e. make numerous comparisons. This inherent complexity is multiplied by the complexity...
Retail space management is one of the more crucial challenges faced by retailers today with an ever ever- expanding volume of data to which they must refer when making decisions. Problems have emerged that are intractable using traditional means but for which interactive information visualization shows much promise. These problems or tasks are exploratory in nature and use temporal multivariate data...
The voluminous nature of social scientific, spatial-temporal statistical databases calls for high interactive performance and creative integrated information and geo-visualization tools. A solution to this challenge can be found in the emerging visual analytics (VA), a science of analytical reasoning facilitated by interactive visual interfaces and innovative visualization and is now actively pursued...
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