Chen, C. (1999). Information Visualisation and Virtual Environments. London: Springer.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... transformations (effective reductions via e.g. Principal Component Analysis (PCA) or distance metrics followed by Principal Coordinates Analysis (PCoA) spring embedding [3] or Selforganizing Map (SOM) 16] or novel representations (e.g. colour maps, hierarchical axes, Daisy , parallel coordinates[1,2,15]) PCA, SOM and PCoA are described briefly here as they are used in the discussion that follows: Principal Components Analysis: PCA is a means by which a multivariate data table is transformed into a table of factor values, the factors being ordered by importance. The two or three most ....

C. Chen. Information Visualisation and Virtual Environments. Springer, 1999.

....techniques in general and develop our alternative approach Space Explorer described from section 8 onwards. 17 7 Alternatives in Information Visualisation In this section, we give an overview of different approaches developed in information visualisation (for an introduction see e.g. [21]) for the two types of data considered (see section 4) With the large amount of data to be visualised a natural approach makes use of a higher dimensional space. But how many dimensions can be mapped 7.1 Number of dimensions used in visualisation Starting from the three dimensions provided by ....

....overall orientation, a picture of the overview perhaps, while being able to zoom in to see details. The easiest and commonest way to deal with this is with opening of secondary and subsequent windows, but there are also special systems using hyperbolic geometry and fish eye magnification [39,21]. Navigation is a complex perception issue relating 25 Fig. 27. Hyperbolic layout from Inxight s SiteLens [41] Caida s Skitter [42] and EBI Visualisation Support Hyperbolic Viewer [43] to bringing the user s domain knowledge and perception theory to bear within the visualisation. 7.3.0.7 ....

C. Chen, Information Visualisation and Virtual Environments, Springer, 1999.

....is the number of calls made by customer i to location j. Notice the clusters and outliers differ as do the pattern shapes [15] 5 Illustrations of Signature Exploration Contemporary visualization systems contain many elements for assisting the user s exploration of the data (general references: [17,2,1]. Special features such as brushing and for context and focus control (eg the semantic lens, hyperbolic browsers) have been developed. Querying of data with conventional database query language and dynamic querying within the visualization itself (eg Attribute Explorer [16] are much used. Visual ....

Chaomei Chen. Information Visualisation and Virtual Environments. Springer, 1999.

....might make sense, 3. calculate the distances for the case study identified in 2) and give an intuitive visualisation. This is possible because distance has a geometric equivalent, that is the Euclidean distance. With special techniques like multidimensional scaling or Spring Embedding (cf. [Chen99]) it is possible to present the calculated distances within three dimensions. We use a very fast spring embedder program [SiStLe00a] to produce 3D models with the Virtual Reality Modelling Language (VRML) that can be displayed by any VRML Client. 3.1 Identification of Move Method Situations The ....

Chaomei Chen: "Information Visualisation and Virtual Environments", Springer-Verlag, London, 1999

.... 1995) and exploratory cartography (Kraak 1998) Techniques for visualising time and change in cartography and GIS also benefit from related research areas such as information visualisation, human computer interaction and data mining (McCormick et al. 1987, Schneiderman 1994, Card et al. 1999, Chen 1999). In 6 particular, visualisation techniques used for the analysis of communication traffic in large computing networks are of interest as they are based on comparable network models. Let us mention among others the development of filtering, interactive manipulation of visualisation parameters, and ....

Chen, C., 1999. Information Visualisation and Virtual Environments, Berlin, Springer-Verlag.

....is reviewed first, followed by discussion of designs and studies, and finally general conclusions. 2. Related Research Though there exists substantial research on information visualization, only a few of the techniques most relevant to this paper will be discussed. An overview is provided in [7]. XEROX PARC has developed a suite of 3D tools, the Information Visualizer [1] which includes the cone tree [8] and the hyperbolic browser [9] to present hierarchical information. A goal of these tools is to shift part of the burden of conscious cognitive processing to the perceptual system. ....

C. Chen, Information Visualisation and Virtual Environments. London: Springer, 1999.

....interpreted in the notion of paradigm and paradigm shift. 1.1.What is Knowledge Visualization Information visualization has become a truly wide ranging and interdisciplinary field of research and a vibrant global industry. There is a rapid growth in the literature of information visualization [2, 3]. Knowledge visualization shares some intrinsic characteristics with cartography an art of making maps. The evolution of the geographic map of the world is a good starting point for us to illustrate what we might need to produce a map of knowledge structure and what we may expect given our ....

....network. The number of links in a network can be reduced by increasing the value of parameter r or q. The geodesic distance between two nodes in a network is the length of the minimum cost path connecting the nodes. A minimumcost network (MCN) PFNET(r= q=n 1) has the least number of links. See [3, 28] for further details. Figure 5 is a Pathfinder network solution of the author co citation matrix described earlier in our MST example. Red circles highlight the additional links with reference to the MST solution. A total of 398 links are included in the network the pathfinder network contains ....

Chen, C. Information Visualisation and Virtual Environments. Springer-Verlag, London, 1999.

....additional complexities into domain analysis. For example, the nature of clustering is not always clear, and local details in an MDS map can be difficult to interpret. In a series of studies, we have investigated the role of Pathfinder network scaling techniques in information visualization [2 4]. Pathfinder network scaling gives an analyst a greater control over extracting and representing the most salient structures defined by proximity data. Author co citation analysis provides an additional perspective to help us understand the dynamic structure of a field. We expect that author ....

Chaomei Chen. Information Visualisation and Virtual Environments. Springer-Verlag, 1999. ISBN 1-85233-136-4.

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Chen, C. (1999). Information Visualisation and Virtual Environments. London: Springer.

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C. Chen. Information Visualisation and Virtual Environments. Springer, London, 1999.

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Chen, C. Information Visualisation and Virtual Environments. Springer-Verlag, ISBN 1-85233-136-4, (1999).

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C. Chen. Information Visualisation and Virtual Environments. Springer, London, 1999.

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C. Chen, Information Visualisation and Virtual Environments, Springer-Verlag, London, 1999.

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