However, the analysis and visualization of these documents is not a trivial task due to the complexity of the documents as well as the large number of possible relations between their multivariate attributes. Despite important differences between patents and scientific articles, both have a variety of common characteristics that lead to similar search and analysis tasks. This is true for many application scenarios in science and industry and for different types of writings, comprising patents and scientific articles. – The increasingly large number of available writings describing technical and scientific progress, calls for advanced analytic tools for their efficient analysis. We further discuss this classification from a task‐centered view and highlight open research questions. Each perspective is further divided into four principal categories that group common map‐like techniques along the visual primitives they affect. In this paper, we give an overview of the literature on map‐like visualization and provide a hierarchical classification of existing techniques along two general perspectives: imitation and schematization of cartographic maps. Moreover, choosing the right technique to support a particular visualization task is further complicated, as techniques are scattered across different domains, with each considering different characteristics as map‐like. However, the field of map‐like visualization is vast and currently lacks a clear classification of the existing techniques. In visualization, the term map‐like describes techniques that incorporate characteristics of cartographic maps in their representation of abstract data. Based on these steps, we introduce Layers of Meaning, a framework to reduce the semantic distance between humanist researchers and visualizations of their research material, by grounding infovis tools in time and space, physicality, terminology, nuance, and provenance.Ĭartographic maps have been shown to provide cognitive benefits when interpreting data in relation to a geographic location. Then, we translate our findings into guidelines for designers and conduct a design critique exercise to explore their effect on the perception of humanist researchers. We validate and expand those findings though a co-design workshop with humanist and infovis experts. We first look into infovis from the humanistic perspective by exploring the humanistic literature around infovis. In this paper, we use a multi-step approach to scrutinize the relationship between infovis and the humanities and suggest new directions for it. Within humanistic research, rich qualitative data and domain culture make traditional infovis approaches appear reductive and disconnected, leading to low adoption. Information visualization (infovis) is a powerful tool for exploring rich datasets. Experiences learned from the case studies are used to introduce some issues and guidelines for using this metaphor to help people find their way through more abstract data. This work discusses the aspects of these abstract metro maps from an information visualisation perspective. These four case studies include using a metro map to summarise the ideas in a complex thesis, using a metro map to communicate a business plan, using a metro map as navigation aid for Web pages and using a metro map to assist university students understand a course structure. This work reports on a preliminary investigation into the question: Can the metro map metaphor be adapted for effectively displaying more abstract knowledge? Four case studies are described that use the metro map metaphor for presenting abstract, interconnecting "trains of thought". Certainly this style of metro map has been adopted in many cities to assist train travellers understand the various routes and network connections. The network map of the London underground is often put forward as a good example of information visualisation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |