Visual Representation and Cognitive Models in Information Visualization

As a branch of computer science,information visualization aims to help users understand and analyze complex data through graphical interfaces and interactive technologies.Information visualization primarily includes various visual structures such as time-series structures,spatial relationship structures,statistical distribution structures,and geographic map structures,each with unique functions and application scenarios.To better explain the cognitive process of visualization,researchers have proposed various cognitive models based on interaction mechanisms,visual perception steps,and novice use of visualization.These models help understand user cognition in information visualization,enhancing the effectiveness of data analysis and decision-making.

APPLICATION OF MAP AND FILE INFORMATIONVISUALIZATION SYSTEM TO COMPREHENSIVEDIVISION OF NATURAL DISASTERS- Takingthe ChangjiangValleg as an Example

ABSTRACT: This paper generalizes the makeup and forming dynamic mechanism of natural disaster systems, principles and methods of comprehensive division of natural disasters, as well as structure, function and up-build routes of map and file information visualization system (MFIVS). Taking the Changjiang(Yangtze) Valley as an example, on the basis of revealing up the integrated mechanism on the formations of its natural disasters and its distributing law, thereafter, the paper relies on the MFIVS technique, adopts two top-down and bottom-up approaches to study a comprehensive division of natural disasters. It is relatively objective and precise that the required division results include three natural disaster sections and nine natural disaster sub-sections, which can not only provide a scientific basis for utilizing natural resources and controlling natural disaster and environmental degradation, but also be illuminated to a concise, practical and effective technique on comprehensive division.

Geographical Information Visualization on a Panoramic Sphere in an Immersive Environment

In this paper,we propose a novel approach to visualizing global geographical information:a panoramic sphere in an immersive environment.The whole geographical surface can be observed through the rotating of heads as the viewpoint of the panoramic sphere is inside the sphere.We compared three approaches to visualizing the earth for rendering the geographical information in a virtual reality environment.On the tasks of terrestrial and marine geographical information,we compare the visualization effects on a)a globe,b)a flat map and c)a panoramic sphere.Terrestrial geographical information tasks include the area comparison and direction determination.Marine geographical information tasks contain the visualization of sea surface temperature and sea surface currents.For terrestrial geographical information tasks,the experimental results show that the panoramic sphere outperforms the globe and the flat map,with a higher average accuracy and a shorter time.On marine geographical information task,the panoramic sphere visualization is also superior to the flat map and the globe in an immersive environment for the sea surface temperature data and the sea surface current fields.In all three visualization experiments,the panoramic sphere is most preferred by the participants,particularly for global,transcontinental and transoceanic needs.

TEXTINSIGHT: A NEW TEXT VISUALIZATION SYSTEM BASED ON ENTROPY AND GMAP

In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visualization system called TextInsight with two of our contributions. Firstly, a textual entropy theory is introduced to encode the semantic importance distribution in the corpus. Based on the proposed multidimensional joint probability histogram in vector fields, the improved algorithm provides a novel way to position valuable information in massive short texts accurately. Secondly, a map-like metaphor is generated to visualize the textual topics and their relationships. For the problem of over-segmentation in the layout and clustering procedure, we propose an optimization algorithm combining Affinity Propagation(AP) and MultiDimensional Scaling(MDS), and the improved geographical representation is more comprehensible and aesthetically appealing. Our experimental results and initial user feedback suggest that this system is effective in aiding text analysis.

Spatial/temporal indexing and information visualization genre for environmental digital libraries

Protecting and preserving our environmental systems require the ability to understand the spatio-temporal distri- bution of soils, parent material, topography, and land cover as well as the effects of human activities on ecosystems. Space-time modelling of ecosystems in an environmental digital library is essential for visualizing past, present, and future impacts of changes occurring within such landscapes (e.g., shift in land use practices). In this paper, we describe three novel features, spa- tio-temporal indexing, visualization, and geostatistical genre, for the environmental digital library, Environmental Visualization and Geographic Enterprise System (ENVISAGE), currently in progress at the University of Florida.

Information visualization,physicality and intuitive use for tangible user interfaces

In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.

Digital Modeling and Visualization of Hydroelectric Engineering Geoinformation

To describe the spatial tendency and complex relationship of geological structures, a digital modeling based on geographic information system and the visualization of hydroelectric engineering geology information are presented. The functions of information visual query, spatial cutting, section drawing, and coupled analysis with hydraulic structures are realized. The geologic model can match the attribute data with the shape data of geological structures, and organize the information for spatial query and analysis of the 3D model. With an application in Laxiwa hydroelectric project on the upriver of Huanghe River, the method provides a 3D parallel section view and query results of geoinformation, and 3D section views of geoinformation along axis of spillway tunnel, and along the 5th axis with underground structures, respectively.

Research and Development on the Visualization System for Official and Scientific Management in Enterprise

A visualization system for the official and scientific management has been designed on C++. By this system, the information of database has been shown to users intuitively, which makes it possible for users to be free from the data sea. The system can realize the information mining and the integrated display, at the same time, improve the information’s constructive level and integration degree.

Information Visualization Theorem for Battlefield Screen

Designing military screen (display) is not complicated in the past, the design should contains easiness of using, visibility and functionality. And it is important that contains all of the information what the system could be gotten. Today military display design can be valued by consideration of human’s cognition model. A few information, which operators of military display could easily miss, could bring critical loss. So the military display needs the ability to help operator decide the military decision with sufficient consideration of battlefield information in a short time. The information is considerably complicated because it has many military entities and many attributes for each entities. For this reason this research contains the methodology of information organization especially for visual information. When the operator use military display, the required information should be recognized at a glance and located where the operator can place his eye easily. Therefore, the display screen should efficiently organize and effectively transfer the information. This paper specifically proposes design methodology to effectively organize and visualize the information in the display screen. The theory of information visualization in a variety of fields already exist, but it has no established theory for the origin of the display screen design. Since the theory was selected to organize the military display interface design for the display screen of the battlefield situation existing information visualization theory.

Google Earth-based dynamic visualization system for storm surge flood routing

To describe the dynamic process of flood routing intuitively and realistically when storm surge disaster occurs,a method for ArcGIS data and Google Earth(GE) data integration is proposed,which realizes the importing and integrating of basic geographic information into GE. Based on SketchUp and AutoCAD software,threedimension(3D) visualization of seawall and other tidal defense structures is achieved. By employing Microsoft Foundation Class Library(MFC),the related system modules and storm surge flood routing dynamic visualization system are developed. Therefore,dynamic visualization of flood routing process and interactive query of submerged area and inundated depth are implemented. A practical application case study of Tianjin Binhai New Area provides decision-making support for coastal seawall planning and storm surge disaster prevention and reduction.

3D stratum modeling in urban geological information visualization

A conceptual model called virtual borehole is presented in practice engineering.Based on borehole data and the geologic section and by using GMS 6.0,MAPGIS software,the 3D stratum model of urban geologic information is established.The visual expression and analysis of 3D geologic data can be better realized in the open model established.

A comparative study of information visualization from the perspective of intellectual base: Using WoS and CSSCI

Purpose: Focusing on a comparative analysis of information visualization in library and information science(LIS) from the perspective of research subject and intellectual base, this paper aims to discover the difference and coherence between Chinese domestic studies on information visualization and those of other areas of the world so as to show their theoretical foundation and development trend in a more objective way.Design/methodology/approach: By using the social network analysis tool Ucinet, we have first constructed networks of key author collaboration for 651 articles retrieved from the Chinese Social Sciences Citation Index(CSSCI) and 910 from the Web of Science(WoS),which were published on information visualization between 1998 and 2012 in library and information science, then we compared the intellectual base by mapping analysis from perspective of half-life, centrality and burst detection with CiteSpace II.Findings: Up to date, 51 countries and regions have contributed to the research of information visualization, and in total, we found 9 research clusters of author co-occurrence matrices,among which three are in China. Within Chinese co-author networks, most Chinese scholars have come from the same research institutions, that is to say, more international cooperation and exchange are still required for the research of information visualization across different disciplines and regions.Research limitations: This co-author network and co-citation analysis is mainly based on the research field of LIS with a focus of the WoS and CSSCI databases only, further samples are required for more generalized results to increase our understanding on the development trend of information visualization.Practical implications: This study could lead to a better understanding of the applications of information visualization technologies in discovering the development trend of a research field. Originality/value: To the best of our knowledge, this is the first comparative analysis of research subject and intellectual base on information visualization, specifically, from the perspective of contributions of Chinese scholars in this regard. By dividing most frequently cited Chinese literature into two categories(original and non-original research papers), this paper shows the extent of contributions that Chinese domestic scholars have made to the research of information visualization, by revealing the contributions of different types of Chinese domestic papers on information visualization.

Monitoring Information 3D Visualization for Super-Filling Loess Project

The construction of high-filled loess project has some engineering and technical challenges, such as excavation of earth and backfilling of earth are both large, complex construction environment, variety of influence factors. According to this situation, this paper presents a dynamic 3D visualization method for high-filled project based on volume rendering. Through comparative analysis and visual analysis, realized at different times of the Loess fill internal detection data visualization and analysis presented. The results show that this visualization method can directly and accurately display the construction process, help decision makers master construction information and process.

Interactive multigraph visualization and exploration with a two-phase strategy

While it is very reasonable to use a multigraph consisting of multiple edges between vertices to represent various relationships, the multigraph has not drawn much attention in research. To visualize such a multigraph, a clear layout representing a global structure is of great importance, and interactive visual analysis which allows the multiple edges to be adjusted in appropriate ways for detailed presentation is also essential. A novel interactive two-phase approach to visualizing and exploring multigraph is proposed. The approach consists of two phases： the first phase improves the previous popular works on force-directed methods to produce a brief drawing for the aggregation graph of the input multigraph, while the second phase proposes two interactive strategies, the magnifier model and the thematic-oriented subgraph model. The former highlights the internal details of an aggregation edge which is selected interactively by user, and draws the details in a magnifying view by cubic Bezier curves; the latter highlights only the thematic subgraph consisting of the selected multiple edges that the user concerns. The efficiency of the proposed approach is demonstrated with a real-world multigraph dataset and how it is used effectively is discussed for various potential applications.

Web-based spatiotemporal visualization of marine environment data

With long-term marine surveys and research,and especially with the development of new marine environment monitoring technologies,prodigious amounts of complex marine environmental data are generated,and continuously increase rapidly.Features of these data include massive volume,widespread distribution,multiple-sources,heterogeneous,multi-dimensional and dynamic in structure and time.The present study recommends an integrative visualization solution for these data,to enhance the visual display of data and data archives,and to develop a joint use of these data distributed among different organizations or communities.This study also analyses the web services technologies and defines the concept of the marine information gird,then focuses on the spatiotemporal visualization method and proposes a process-oriented spatiotemporal visualization method.We discuss how marine environmental data can be organized based on the spatiotemporal visualization method,and how organized data are represented for use with web services and stored in a reusable fashion.In addition,we provide an original visualization architecture that is integrative and based on the explored technologies.In the end,we propose a prototype system of marine environmental data of the South China Sea for visualizations of Argo floats,sea surface temperature fields,sea current fields,salinity,in-situ investigation data,and ocean stations.An integration visualization architecture is illustrated on the prototype system,which highlights the process-oriented temporal visualization method and demonstrates the benefit of the architecture and the methods described in this study.

Visualization Analysis of Multi-Domain Access Control Policy Integration Based on Tree-Maps and Semantic Substrates

The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.

Brief Talk About Big Data Graph Analysis and Visualization

Graphical methods are used for construction.Data analysis and visualization are an important area of applications of big data.At the same time,visual analysis is also an important method for big data analysis.Data visualization refers to data that is presented in a visual form,such as a chart or map,to help people understand the meaning of the data.Data visualization helps people extract meaning from data quickly and easily.Visualization can be used to fully demonstrate the patterns,trends,and dependencies of your data,which can be found in other displays.Big data visualization analysis combines the advantages of computers,which can be static or interactive,interactive analysis methods and interactive technologies,which can directly help people and effectively understand the information behind big data.It is indispensable in the era of big data visualization,and it can be very intuitive if used properly.Graphical analysis also found that valuable information becomes a powerful tool in complex data relationships,and it represents a significant business opportunity.With the rise of big data,important technologies suitable for dealing with complex relationships have emerged.Graphics come in a variety of shapes and sizes for a variety of business problems.Graphic analysis is first in the visualization.The step is to get the right data and answer the goal.In short,to choose the right method,you must understand each relative strengths and weaknesses and understand the data.Key steps to get data:target;collect;clean;connect.

LRV: A Tool for Academic Text Visualization to Support theLiterature Review Process

Text visualization is concerned with the representation of text in a graphicalform to facilitate comprehension of large textual data. Its aim is to improve the ability tounderstand and utilize the wealth of text-based information available. An essential task inany scientific research is the study and review of previous works in the specified domain,a process that is referred to as the literature survey process. This process involves theidentification of prior work and evaluating its relevance to the research question. With theenormous number of published studies available online in digital form, this becomes acumbersome task for the researcher. This paper presents the design and implementationof a tool that aims to facilitate this process by identifying relevant work and suggestingclusters of articles by conceptual modeling, thus providing different options that enablethe researcher to visualize a large number of articles in a graphical easy-to-analyze form.The tool helps the researcher in analyzing and synthesizing the literature and building aconceptual understanding of the designated research area. The evaluation of the toolshows that researchers have found it useful and that it supported the process of relevantwork analysis given a specific research question, and 70% of the evaluators of the toolfound it very useful.

Visualizing Need: Using Data Visualization as a Decision Support Tool in the Formulation of Social Policy

International social work is facing an exponentially growing number of critical challenges in developing nations in meeting essential social needs as well as the distribution of material goods, social and economic resources and the provision, and effective services delivery to populations of need. There is a need to respond rapidly to populations in need and adapt to quickly changing socio-economic conditions. However, the resources needed to evaluate data and make effective decisions to provide support are often limited by the availability of trained data analysts who can interpret statistical findings and make relevant service delivery decisions for such communities of need. Modern computing technology shows promise of providing a graphical evaluation approach to enriching understanding of the available information. Thereby, the need to make critical decisions is augmented for those decision-makers that are working most closely with marginalized groups. A recent research effort undertaken by the Adventist Development and Relief Agency (ADRA) sought to provide administrators and policy-makers with information regarding the associations between social capital, economic development, and food security in the mountain region of Perú. Survey data collection and descriptive statistical analysis were used to provide information on the relationship between socio-economic development services and the emergence of social capital needed to develop effective human self-support systems. This paper demonstrates how to provide a graphical interface between areas of economic need and development initiatives. A visual exploration of data patterns would serve to inform human service decision-makers as they develop policies and programs. Visualization of data helps to enrich meaning and understanding of core areas of population need. This enhanced information format can identify needs for social policy development and improve the delivery of critical services and resources. This paper will provide a conceptual argument for considering data visualization methods in the evaluation of significant needs for, at risk, international populations. The paper will also present a number of examples for improving data evaluation and the understanding of need through data visualization methods through widely available computing technology. Procedures for graphically representing data will be demonstrated using the Perú survey, and applications for social policy formulation will be discussed.

Design of the visualization of the big data

The arrival of the era of the Internet has brought about the rapid dissemination and spread of a big amount of the information and data. At present, we are surrounded by all kinds of the information, but the rich and diversified information resources also brought about the chaos, so that the query of the messages is no way to start. In fact, the information resources can provide us with more convenience, but we have to spend a lot of energy to organize and filter the information, and the costs and the time of the investment are immeasurable. Usually, the information we want to query is often easy to understand, and the information design uses the more intuitive and vivid computing means to achieve the visualization of the big data, in order to reflect the beauty of the big data.