Journal articles: 'Information visualisation'

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Garrote, Antonio, and María N. Moreno García. "LinkedVis an Information Visualisation Toolkit for RDF Data." International Journal on Semantic Web and Information Systems 9, no. 4 (October 2013): 1–16. http://dx.doi.org/10.4018/ijswis.2013100101.

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LinkedVis implements a JavaScript and SVG data visualisation toolkit that can be used to generate a wide range of interactive information visualisations from RDF graphs using a grammar of graphics style syntax extended with operations for structural transformation of the RDF data graph. Additionally, LinkedVis visualisations make it possible to embed meta-data about the visualisation and the way different graphic components from the visualisation are related to the original RDF data. Insertion of meta-data transforms the visualisation into a self-describing piece of information that can be processed by an automatic agent to perform different tasks, like extracting data associated to a visual component, following the associated linked URIs or translate the visualisation to an entirely different underlying graphics system other than SVG.

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Gibson, Helen, Joe Faith, and Paul Vickers. "A survey of two-dimensional graph layout techniques for information visualisation." Information Visualization 12, no. 3-4 (September 5, 2012): 324–57. http://dx.doi.org/10.1177/1473871612455749.

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Many algorithms for graph layout have been devised over the last 30 years spanning both the graph drawing and information visualisation communities. This article first reviews the advances made in the field of graph drawing that have then often been applied by the information visualisation community. There then follows a discussion of a range of techniques developed specifically for graph visualisations. Graph drawing algorithms are categorised into the following approaches: force-directed layouts, the use of dimension reduction in graph layout and computational improvements including multi-level techniques. Methods developed specifically for graph visualisation often make use of node-attributes and are categorised based on whether the attributes are used to introduce constraints to the layout, provide a clustered view or define an explicit representation in two-dimensional space. The similarities and distinctions between these techniques are examined and the aim is to provide a detailed assessment of currently available graph layout techniques, specifically how they can be used by visualisation practitioners, and to motivate further research in the area.

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Bravo, A., and A. M. Maier. "IMMERSIVE VISUALISATIONS IN DESIGN: USING AUGMENTED REALITY (AR) FOR INFORMATION PRESENTATION." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 1215–24. http://dx.doi.org/10.1017/dsd.2020.33.

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AbstractImmersive visualisations introduce new possibilities for experiencing design, and as such for presenting information. To date, studies in design have focused mostly on immersive visualisations supporting product decisions. However, little attention has been paid to information presentation, e.g. in design reviews, for decisions in the boardroom, and/or for client presentations. This study with industry practitioners identifies information presentation practices and challenges, develops an immersive visualisation prototype, and explores opportunities for the use of immersive visualisations.

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Herman, Ivan, Maylis Delest, and Guy Melancon. "Tree Visualisation and Navigation Clues for Information Visualisation." Computer Graphics Forum 17, no. 2 (June 1998): 153–65. http://dx.doi.org/10.1111/1467-8659.00235.

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Idrissov, Agzam, Simon Rapp, Albert Albers, and Anja M. Maier. "DEVELOPING SYSTEMS VISUALISATIONS IN DESIGN THROUGH A TYPOLOGY OF VISUAL TASKS: A MECHATRONIC CASE." Proceedings of the Design Society 1 (July 27, 2021): 1213–22. http://dx.doi.org/10.1017/pds.2021.121.

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AbstractVisual representations are essential to design. Data-rich representations such as systems visualisations are gaining prominence in engineering practice. However, as such visualisations are often developed ad-hoc, we propose more systematically to link visual tasks with design-specific tasks for which the visualisations are used. Whereas research on such linking focuses mostly on CAD models and sketches, no such studies are yet available for systems visualisations. Thus, this paper introduces a typology of visual tasks from the Information Visualisation field to aid the development of systems visualisations in design. To build a visualisation using the typology, a case study with engineering students developing an autonomous robot was conducted. Through interviews and analysis of product representations used, design-specific tasks were identified and decomposed into visual tasks. Then, a visualisation that assisted the team in performing their design activities was created. Results illustrate the benefits of using such a typology to describe visual tasks and generate systems visualisations. The study suggests implications for researchers studying visual representations in design as well as for developers of systems visualisations.

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Donohoe, David, and Eamon Costello. "Data Visualisation Literacy in Higher Education: An Exploratory Study of Understanding of a Learning Dashboard Tool." International Journal of Emerging Technologies in Learning (iJET) 15, no. 17 (September 11, 2020): 115. http://dx.doi.org/10.3991/ijet.v15i17.15041.

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The visualisation of data has become ubiquitous. Visualisations are used to represent data in a way that is easy to understand and useful in our lives. Each data visualisation needs to be suitable to extract the correct information to complete a task and make an informed decision while minimising the impact of biases. To achieve this, the ability to create and read visualisations has become as important as the ability to read and write. Therefore, the Information Visualisation community is applying more attention to literacy and decision making in data vis-ualisations. Until recently, researchers lacked valid and reliable test in-struments to measure the literacy of users or the taxonomy to detect biased judgement in data visualisations. A literature review showed there is relatively little research on data visualisations for different user data literacy levels in authentic settings and a lack of studies that pro-vide evidence for the presence of cognitive biases in data visualisa-tions. This exploratory research study was undertaken to develop a method to assess perceived usefulness and confidence in reporting dashboards within higher education by adapting existing research in-struments. A survey was designed to test perceived usefulness, per-ceived skill and 24 multiple-choice test items covering six data visuali-sations based on eight tasks. The study was sent to 157 potential par-ticipants, with a response rate of 20.38%. The results showed data vis-ualisations are useful, but the purpose of some data visualisations is not always understood. Also, we showed there is a consensus that re-spondents perceive their data visualisation literacy is higher than they believe their peers to be. However, the higher their overconfidence, the lower their actual data visualisation literacy score. Finally, we discuss the benefits, limitations and possible future research areas.

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Joseph, Pauline, Aaron Justin Kent, Peter Damian Green, Matthew Robinson, and Amanda Bellenger. "Analysis of EZproxy server logs to visualise research activity in Curtin’s online library." Library Hi Tech 37, no. 4 (November 18, 2019): 845–65. http://dx.doi.org/10.1108/lht-04-2018-0050.

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Purpose The purpose of this paper is to develop data visualisation proof of concept prototypes that will enable the Curtin University Library team to explore its users’ information-seeking behaviour and collection use online by analysing the library’s EZproxy logs. Design/methodology/approach Curtin Library’s EZproxy log file data from 2013 to 2017 is used to develop the data visualisation prototypes using Unity3D software. Findings Two visualisation prototypes from the EZproxy data set are developed. The first, “Global Visualisation of Curtin Research Activity”, uses a geographical map of the world as a platform to show where each research request comes from, the time each is made and the file size of the request. The second prototype, “Database Usage Visualisation”, shows the use of the library’s various subscription databases by staff and students daily, over a month in April 2017. Research limitations/implications The paper has following limitations: working to a tight timeline of ten weeks; time taken to cleanse noise data; and requirements for storing and hosting the voluminous data sets. Practical implications The prototypes provide visual evidence of the use of Curtin Library’s digital resources at any time and from anywhere by its users, demonstrating the demand for the library’s online service offerings. These prototype evidence-based data visualisations empower the library to communicate in a compelling and interesting way how its services and subscriptions support Curtin University’s missions. Originality/value The paper provides innovative approaches to create immersive 3D data visualisation prototypes to make sense of complex EZproxy data sets.

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Meier, Sebastian, and Katrin Glinka. "The Individual in the Data — the Aspect of Personal Relevance in Designing Casual Data Visualisations." i-com 16, no. 3 (December 20, 2017): 247–65. http://dx.doi.org/10.1515/icom-2017-0025.

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AbstractOver the last two decades, data visualisation has diffused into the broader realm of mass communication. Before this shift, tools and displays of data-driven geographic- and information visualisation were mostly used in expert contexts. By now, they are also used in casual contexts, for example on newspaper websites, government data portals and many other public outlets. This diversification of the audience poses new challenges within the visualisation community. In this paper we propose personal relevance as one factor to be taken into account when designing casual data visualisations, which are meant for the communication with non-experts. We develop a conceptual model and present a related set of design techniques for interactive web-based visualisations that are aimed at activating personal relevance. We discuss our proposed techniques by applying them to a use case on the visualisation of air pollution in London (UK).

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Pereira, Arnaldo, João Rafael Almeida, Rui Pedro Lopes, and José Luís Oliveira. "Semantic Data Visualisation for Biomedical Database Catalogues." Healthcare 10, no. 11 (November 15, 2022): 2287. http://dx.doi.org/10.3390/healthcare10112287.

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Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for medical research. A strategy for publishing information without disclosing patient-level data is through database fingerprinting and aggregate characterisations. However, this information is still presented in a format that makes it challenging to search, analyse, and decide on the best databases for a domain of study. Several strategies allow one to visualise and compare the characteristics of multiple biomedical databases. Our study focused on a European platform for sharing and disseminating biomedical data. We use semantic data visualisation techniques to assist in comparing descriptive metadata from several databases. The great advantage lies in streamlining the database selection process, ensuring that sensitive details are not shared. To address this goal, we have considered two levels of data visualisation, one characterising a single database and the other involving multiple databases in network-level visualisations. This study revealed the impact of the proposed visualisations and some open challenges in representing semantically annotated biomedical datasets. Identifying future directions in this scope was one of the outcomes of this work.

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Zabukovec, Alenka, and Jurij Jaklič. "The Impact of Information Visualisation on the Quality of Information in Business Decision-Making." International Journal of Technology and Human Interaction 11, no. 2 (April 2015): 61–79. http://dx.doi.org/10.4018/ijthi.2015040104.

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The visualisation of information for business decision-making is a relatively understudied area despite the promising benefits. Previous research confirms the value of information visualisation. Still, the mechanisms of the impacts on the quality of information are poorly understood. Therefore, the authors examine the impact of the quality and quantity of information visualisation on the quality of the content and access to information among different types of users and for various types of use. The results show the varying importance of the quality and quantity of visualisation for the quality of information and that there are statistically significant differences between groups of decision-makers and decision-making in various situations. Information visualisation adjustments for different user perceptual types and for various business decision-making situations can increase the quality of information and potentially lead to the faster and more accurate receipt and processing of business information.

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Sibolla, B. H., T. Van Zyl, and S. Coetzee. "TOWARDS THE DEVELOPMENT OF A TAXONOMY FOR VISUALISATION OF STREAMED GEOSPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 129–36. http://dx.doi.org/10.5194/isprsannals-iii-2-129-2016.

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Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library development, such that either an existing taxonomy can be adopted or extended to fit the needs at hand. The major challenge in this case is to develop dynamic two dimensional visualisations that enable human interaction in order to assist the user to understand the data streams that are continuously being updated. This paper reviews the existing geospatial data visualisation taxonomies that have been developed over the years. Based on the review, an adopted taxonomy for visualisation of geospatial streaming data is presented. Example applications of this taxonomy are also provided. The adopted taxonomy will then be used to develop the information model for the visualisation library in a further study.

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Sibolla, B. H., T. Van Zyl, and S. Coetzee. "TOWARDS THE DEVELOPMENT OF A TAXONOMY FOR VISUALISATION OF STREAMED GEOSPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 129–36. http://dx.doi.org/10.5194/isprs-annals-iii-2-129-2016.

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Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library development, such that either an existing taxonomy can be adopted or extended to fit the needs at hand. The major challenge in this case is to develop dynamic two dimensional visualisations that enable human interaction in order to assist the user to understand the data streams that are continuously being updated. This paper reviews the existing geospatial data visualisation taxonomies that have been developed over the years. Based on the review, an adopted taxonomy for visualisation of geospatial streaming data is presented. Example applications of this taxonomy are also provided. The adopted taxonomy will then be used to develop the information model for the visualisation library in a further study.

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Kennedy, Jessie B., Kenneth J. Mitchell, and Peter J. Barclay. "A framework for information visualisation." ACM SIGMOD Record 25, no. 4 (December 1996): 30–34. http://dx.doi.org/10.1145/245882.245895.

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Francese, Rita, Ebad Banissi, and Michele Risi. "Special issue on information visualisation." Multimedia Tools and Applications 78, no. 23 (October 29, 2019): 32775–78. http://dx.doi.org/10.1007/s11042-019-08287-5.

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Pohl, Margit, Sylvia Wiltner, Silvia Miksch, Wolfgang Aigner, and Alexander Rind. "Analysing Interactivity in Information Visualisation." KI - Künstliche Intelligenz 26, no. 2 (January 25, 2012): 151–59. http://dx.doi.org/10.1007/s13218-012-0167-6.

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Chen, Min, and Luciano Floridi. "An analysis of information visualisation." Synthese 190, no. 16 (September 26, 2012): 3421–38. http://dx.doi.org/10.1007/s11229-012-0183-y.

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Alcíbar, Miguel. "Information visualisation as a resource for popularising the technical-biomedical aspects of the last Ebola virus epidemic: The case of the Spanish reference press." Public Understanding of Science 27, no. 3 (April 10, 2017): 365–81. http://dx.doi.org/10.1177/0963662517702047.

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This study explores the role that information visualisation played in the popularisation of the technical-biomedical aspects of the last Ebola virus epidemic, the most devastating to date. Applying content analysis methods, the total population of information visualisations ( N = 209) was coded and analysed to identify topics, and to define features and identify patterns in the images. The corpus was based on the record of articles with graphics appearing in five Spanish reference newspapers from 22 March 2014 to 13 January 2016, the start and suppression of the epidemic, respectively. The results suggest that information visualisation was a key factor in the popularisation of the epidemic’s technical-biomedical aspects, as well as contributing actively to construct, in the words of Myers, a narrative of nature.

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Graham, Martin, and Jessie Kennedy. "Extending Taxonomic Visualisation to Incorporate Synonymy and Structural Markers." Information Visualization 4, no. 3 (June 9, 2005): 206–23. http://dx.doi.org/10.1057/palgrave.ivs.9500096.

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The visualisation of taxonomic hierarchies has evolved from indented lists of names to techniques that can display thousands of nodes and onto hundreds of thousands of nodes over multiple taxonomies. However, challenges remain within multiple hierarchy visualisation, and for taxonomic hierarchy visualisation in particular. Firstly, at present, there is no support for handling specific taxonomic information such as synonymy, with current visualisations matching solely on names. Synonymy is extremely important as it reflects expert opinion on the compatibility of data held in separate taxonomies, and is needed to produce an accurate picture of taxonomic overlap. Also, current techniques for exploring large hierarchies find it difficult to convey internal re-organisations between hierarchies, with most systems showing only addition, removal or wide-ranging fragmentation of information between taxonomies. Finding the source of changes that have occurred within an existing structure is currently only achievable through exhaustive drill-down exploration. This paper describes work that tackles these problems, incorporating synonymy information into a model for multiple hierarchy visualisation of large taxonomies, and also detailing techniques that aid navigation for discovering structural re-organisations between hierarchies and for revealing information about nodes that lie below the effective display resolution of the hierarchy layout. Two examples on real taxonomic data sets are annotated to show the effectiveness of these techniques in operation.

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Cawkell, Tony. "Progress in visualisation." Journal of Information Science 27, no. 6 (December 2001): 427–38. http://dx.doi.org/10.1177/016555150102700608.

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Johansson, Veronica, and Jörgen Stenlund. "Making time/breaking time: critical literacy and politics of time in data visualisation." Journal of Documentation 78, no. 1 (October 19, 2021): 60–82. http://dx.doi.org/10.1108/jd-12-2020-0210.

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PurposeRepresentations of time are commonly used to construct narratives in visualisations of data. However, since time is a value-laden concept, and no representation can provide a full, objective account of “temporal reality”, they are also biased and political: reproducing and reinforcing certain views and values at the expense of alternative ones. This conceptual paper aims to explore expressions of temporal bias and politics in data visualisation, along with possibly mitigating user approaches and design strategies.Design/methodology/approachThis study presents a theoretical framework rooted in a sociotechnical view of representations as biased and political, combined with perspectives from critical literacy, radical literacy and critical design. The framework provides a basis for discussion of various types and effects of temporal bias in visualisation. Empirical examples from previous research and public resources illustrate the arguments.FindingsFour types of political effects of temporal bias in visualisations are presented, expressed as limitation of view, disregard of variation, oppression of social groups and misrepresentation of topic and suggest that appropriate critical and radical literacy approaches require users and designers to critique, contextualise, counter and cross beyond expressions of the same. Supporting critical design strategies involve the inclusion of multiple datasets and representations; broad access to flexible tools; and inclusive participation of marginalised groups.Originality/valueThe paper draws attention to a vital, yet little researched problem of temporal representation in visualisations of data. It offers a pioneering bridging of critical literacy, radical literacy and critical design and emphasises mutual rather than contradictory interests of the empirical sciences and humanities.

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Beale, Russell, Robert J. Hendley, Andy Pryke, and Barry Wilkins. "Nature-Inspired Visualisation of Similarity and Relationships in Human Systems and Behaviours." Information Visualization 5, no. 4 (December 2006): 260–70. http://dx.doi.org/10.1057/palgrave.ivs.9500135.

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Visualisations of complex interrelationships have the potential to be complex and require a lot of cognitive input. We have drawn analogues from natural systems to create new visualisation approaches that are more intutive and easier to work with. We use nature-inspired concepts to provide cognitive amplification, moving the load from the user's cognitive to their perceptual systems and thus allowing them to focus their cognitive resources where they are most appropriate. Two systems are presented: one uses a physical-based model to construct the visualisation, while the other uses a biological inspiration. Their application to four visualisation tasks is discussed: the structure of information browsing on the internet; the structure of parts of the web itself; to aid the refinement of queries to a digital library; and to compare different documents for similar content.

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TARANTINO, LAURA. "Advances in information visualisation: recent outcomes." Knowledge Engineering Review 15, no. 4 (December 2000): 405–10. http://dx.doi.org/10.1017/s0269888900004021.

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To an ever-growing degree, information technology is being based on interactive visual media, and visualisation techniques are emerging as the primary support to decision-making tasks. In this paper I briefly survey the most recent results in the field of advanced visual interfaces, focusing on visualisation techniques along with their design and their applications.

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Tessem, Bjørnar, Solveig Bjørnestad, Weiqin Chen, and Lars Nyre. "Word cloud visualisation of locative information." Journal of Location Based Services 9, no. 4 (October 2, 2015): 254–72. http://dx.doi.org/10.1080/17489725.2015.1118566.

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Alhenshiri, Anwar, and James Blustein. "Exploring visualisation in web information retrieval." International Journal of Internet Technology and Secured Transactions 3, no. 3 (2011): 320. http://dx.doi.org/10.1504/ijitst.2011.041299.

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Francese, Rita, Ebad Banissi, and Nuno Datia. "Special issue on interactive information Visualisation." Journal of Computer Languages 58 (June 2020): 100962. http://dx.doi.org/10.1016/j.cola.2020.100962.

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Kasyanov, V. N., and E. V. Kasyanova. "Information visualisation based on graph models." Enterprise Information Systems 7, no. 2 (May 2013): 187–97. http://dx.doi.org/10.1080/17517575.2012.743188.

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Percival, Sarah Ellen, Mark Gaterell, and David Hutchinson. "Effective flood risk visualisation." Natural Hazards 104, no. 1 (July 18, 2020): 375–96. http://dx.doi.org/10.1007/s11069-020-04173-8.

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Abstract The effective communication of flood risk offers the opportunity to ensure communities can adapt and respond appropriately to changing local conditions. At a time of diminishing resources, such local responses, which can empower communities and make them more resilient to uncertain future flood events, are vital. The most general and accessible type of flood communication are flood risk visualisations, i.e. pre-prepared emergency flood maps. However, evidence suggests there is much we can do to improve their ability to communicate the complexities of flood risk to a range of stakeholders. This paper considers the development of flood risk visualisation approaches in the UK, presenting findings from a series of targeted workshops over twelve months, where the needs and criteria of stakeholder groups for effective flood risk visualisation were assessed via co-creative processes. Key stakeholders included local authorities, emergency responders, vulnerable homeowners, Environment Agency, business owners and, crucially, communities. These users need certain requirements to be considered in order for future flood risk visualisation to be effective, in particular simplicity, a central hub of information, different visuals available for the same data sets/problems, different maps available for different users, consistent terminology and integrated community knowledge (e.g. local flood groups/help).

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Yoon, Byungun. "Strategic visualisation tools for managing technological information." Technology Analysis & Strategic Management 22, no. 3 (April 2010): 377–97. http://dx.doi.org/10.1080/09537321003647438.

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Daradkeh, Mohammad. "Information visualisation for decision support under risk." International Journal of Information and Decision Sciences 9, no. 3 (2017): 276. http://dx.doi.org/10.1504/ijids.2017.086786.

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Daradkeh, Mohammad. "Information visualisation for decision support under risk." International Journal of Information and Decision Sciences 9, no. 3 (2017): 276. http://dx.doi.org/10.1504/ijids.2017.10007807.

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Turner, James M. "Information et visualisation : enjeux, recherches et applications." Canadian Journal of Information and Library Science 34, no. 1 (2010): 113–14. http://dx.doi.org/10.1353/ils.0.0008.

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Wang, Chun Hua, Wen Kuang Chou, and Dong Han. "Overview of information visualisation in science education." International Journal of Computational Science and Engineering 1, no. 1 (2016): 1. http://dx.doi.org/10.1504/ijcse.2016.10005643.

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Wang, Chun Hua, Dong Han, and Wen Kuang Chou. "Overview of information visualisation in science education." International Journal of Computational Science and Engineering 17, no. 1 (2018): 118. http://dx.doi.org/10.1504/ijcse.2018.094423.

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Banissi, Ebad, and Weidong Huang. "Guest editorial: Special issue on information visualisation." Journal of Visual Languages & Computing 44 (February 2018): 70–71. http://dx.doi.org/10.1016/j.jvlc.2017.11.005.

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Hennemann, Stefan. "Information-rich visualisation of dense geographical networks." Journal of Maps 9, no. 1 (January 9, 2013): 68–75. http://dx.doi.org/10.1080/17445647.2012.753850.

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Haggerty, John, Sheryllynne Haggerty, and Mark Taylor. "Forensic triage of email network narratives through visualisation." Information Management & Computer Security 22, no. 4 (October 7, 2014): 358–70. http://dx.doi.org/10.1108/imcs-11-2013-0080.

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Purpose – The purpose of this paper is to propose a novel approach that automates the visualisation of both quantitative data (the network) and qualitative data (the content) within emails to aid the triage of evidence during a forensics investigation. Email remains a key source of evidence during a digital investigation, and a forensics examiner may be required to triage and analyse large email data sets for evidence. Current practice utilises tools and techniques that require a manual trawl through such data, which is a time-consuming process. Design/methodology/approach – This paper applies the methodology to the Enron email corpus, and in particular one key suspect, to demonstrate the applicability of the approach. Resulting visualisations of network narratives are discussed to show how network narratives may be used to triage large evidence data sets. Findings – Using the network narrative approach enables a forensics examiner to quickly identify relevant evidence within large email data sets. Within the case study presented in this paper, the results identify key witnesses, other actors of interest to the investigation and potential sources of further evidence. Practical implications – The implications are for digital forensics examiners or for security investigations that involve email data. The approach posited in this paper demonstrates the triage and visualisation of email network narratives to aid an investigation and identify potential sources of electronic evidence. Originality/value – There are a number of network visualisation applications in use. However, none of these enable the combined visualisation of quantitative and qualitative data to provide a view of what the actors are discussing and how this shapes the network in email data sets.

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Riechert, Mathias, Sophie Biesenbender, Werner Dees, and Daniel Sirtes. "Developing definitions of research information metadata as a wicked problem? Characterisation and solution by argumentation visualisation." Program 50, no. 3 (July 4, 2016): 303–24. http://dx.doi.org/10.1108/prog-01-2015-0009.

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Purpose – The purpose of this paper is to focus on the development of definitional standards for research information as a wicked problem. A central solution strategy for such problems, increasing transparency by argumentation visualisation, is being evaluated. Design/methodology/approach – Qualitative formal content analysis is used in order to examine whether the process of definition standardisation in the project can be characterised as a wicked problem. Action Research is used to assess the effect of argumentation visualisation in the project. Findings – The results of the content analysis confirm the interpretation of the standardisation process as a wicked problem. The implementation of argumentation visualisation shows to increase the meetings’ focus and effectiveness. Research limitations/implications – The relationship between information exchange, transparency and acceptance of the development result should be addressed in future empirical analyses. Visualisation solutions require further development in order to accommodate needs of the stakeholders. Practical implications – Argumentation visualisation is of high value for finding a consensus for definitional standards and should be considered for managing and exchanging information. Originality/value – Applying solution strategies from design research on wicked problems to large-scale standardisation efforts opens up new possibilities for not only handling such projects but also providing new avenues of research for both the design and research information communities.

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Schmidt, Breon, Marek Cmero, Paul Ekert, Nadia Davidson, and Alicia Oshlack. "Slinker: Visualising novel splicing events in RNA-Seq data." F1000Research 10 (December 7, 2021): 1255. http://dx.doi.org/10.12688/f1000research.74836.1.

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Visualisation of the transcriptome relative to a reference genome is fraught with sparsity. This is due to RNA sequencing (RNA-Seq) reads being predominantly mapped to exons that account for just under 3% of the human genome. Recently, we have used exon-only references, superTranscripts, to improve visualisation of aligned RNA-Seq data through the omission of supposedly unexpressed regions such as introns. However, variation within these regions can lead to novel splicing events that may drive a pathogenic phenotype. In these cases, the loss of information in only retaining annotated exons presents significant drawbacks. Here we present Slinker, a bioinformatics pipeline written in Python and Bpipe that uses a data-driven approach to assemble sample-specific superTranscripts. At its core, Slinker uses Stringtie2 to assemble transcripts with any sequence across any gene. This assembly is merged with reference transcripts, converted to a superTranscript, of which rich visualisations are made through Plotly with associated annotation and coverage information. Slinker was validated on five novel splicing events of rare disease samples from a cohort of primary muscular disorders. In addition, Slinker was shown to be effective in visualising deletion events within transcriptomes of tumour samples in the important leukemia gene, IKZF1. Slinker offers a succinct visualisation of RNA-Seq alignments across typically sparse regions and is freely available on Github.

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Isikdag, U., and K. Sahin. "WEB BASED 3D VISUALISATION OF TIME-VARYING AIR QUALITY INFORMATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 267–74. http://dx.doi.org/10.5194/isprs-archives-xlii-4-267-2018.

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<p><strong>Abstract.</strong> Many countries where the industrial development and production rates are high face many side effects of low air quality and air pollution. There is an evident correlation between the topographic and climatic properties of a location and the air pollution and air quality on that location. As the variation of air quality is dependent on location, air quality information should be acquired, utilised, stored and presented in form of Geo-Information. On the other hand, as this information is related with the health concerns of public, the information should be available publicly, and needs to be presented through an easily accessible medium and through a commonly used interface. Efficient storage of time-varying air quality information when combined with an efficient mechanism of 3D web-based visualisation would help very much in dissemination of air quality information to public. This research is focused on web-based 3D visualisation of time-varying air quality data. A web based interactive system is developed to visualise pollutant levels that were acquired as hourly intervals from more than 100 stations in Turkey between years 2008 and 2017. The research also concentrated on visualisation of geospatial high volume data. In the system, visualisation can be achieved on-demand by querying an air pollutant information database of 10.330.629 records and a city object database with more than 700.000 records. The paper elaborates on the details of this research. Following a background on air quality, air quality models, and Geo-Information visualisation, the system architecture and functionality is presented. The paper concludes with results of usability tests of the system.</p>

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Achuthan, Kamal, Nick Hay, Mostafa Aliyari, and Yonas Zewdu Ayele. "A Digital Information Model Framework for UAS-Enabled Bridge Inspection." Energies 14, no. 19 (September 22, 2021): 6017. http://dx.doi.org/10.3390/en14196017.

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Unmanned aerial systems (UAS) provide two main functions with regards to bridge inspections: (1) high-quality digital imaging to detect element defects; (2) spatial point cloud data for the reconstruction of 3D asset models. With UAS being a relatively new inspection method, there is little in the way of existing framework for storing, processing and managing the resulting inspection data. This study has proposed a novel methodology for a digital information model covering data acquisition through to a 3D GIS visualisation environment, also capable of integrating within a bridge management system (BMS). Previous efforts focusing on visualisation functionality have focused on BIM and GIS as separate entities, which has a number of problems associated with it. This methodology has a core focus on the integration of BIM and GIS, providing an effective and efficient information model, which provides vital visual context to inspectors and users of the BMS. Three-dimensional GIS visualisation allows the user to navigate through a fully interactive environment, where element level inspection information can be obtained through point-and-click operations on the 3D structural model. Two visualisation environments were created: a web-based GIS application and a desktop solution. Both environments develop a fully interactive, user-friendly model which have fulfilled the aims of coordinating and streamlining the BMS process.

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Abdul Ghafar, Maszura, Rahinah Ibrahim, Zalina Shari, and Farzad Pour Rahimian. "Embedding Work Culture in Building Information Modelling (BIM) for Enhancing Collaboration in Global Projects." International Journal of 3-D Information Modeling 2, no. 2 (April 2013): 16–29. http://dx.doi.org/10.4018/ij3dim.2013040102.

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Building Information Modelling is further globalising Architecture, Engineering and Construction (AEC) professional partnerships. However, little is known on the effect of cultural and human factors on BIM enabled visualisation applications. This desktop study examined the extant literature on factors relating to application of BIM enabled visualisation technologies as a process that can improve, leverage and conduct visual communication for coordination during implementation of global projects. It identifies BIM enabled visualisation having the capability in facilitating knowledge flows in complex discontinuous working environment of a property development’s life cycle, and supports designers’ understanding in its early working phases. This paper presents the development of a theoretical proposition for embedding local work culture etiquette in BIM enabled visualisation application for augmenting dynamic knowledge transfer among discontinuous members in a building project. The result is expected to benefit rapidly developing countries, e.g. Malaysia, in enabling successful partnerships with counterparts from developed countries.

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Bohak, Ciril, Matej Slemenik, Jaka Kordež, and Matija Marolt. "Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation." Sensors 20, no. 7 (April 8, 2020): 2089. http://dx.doi.org/10.3390/s20072089.

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Direct point-cloud visualisation is a common approach for visualising large datasets of aerial terrain LiDAR scans. However, because of the limitations of the acquisition technique, such visualisations often lack the desired visual appeal and quality, mostly because certain types of objects are incomplete or entirely missing (e.g., missing water surfaces, missing building walls and missing parts of the terrain). To improve the quality of direct LiDAR point-cloud rendering, we present a point-cloud processing pipeline that uses data fusion to augment the data with additional points on water surfaces, building walls and terrain through the use of vector maps of water surfaces and building outlines. In the last step of the pipeline, we also add colour information, and calculate point normals for illumination of individual points to make the final visualisation more visually appealing. We evaluate our approach on several parts of the Slovenian LiDAR dataset.

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Struhár, Juraj, and Petr Rapant. "Spatiotemporal Visualisation of PS InSAR Generated Space–Time Series Describing Large Areal Land Deformations Using Diagram Map with Spiral Graph." Remote Sensing 14, no. 9 (May 3, 2022): 2184. http://dx.doi.org/10.3390/rs14092184.

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The space–time series carry information on temporal and spatial patterns in observed phenomena. The reported research integrates computational, visual and cartographic methods to support visual analysis of space–time series describing terrain surface movement. The proposed methodology for space–time series visualisation can support their analysts in investigating space–time patterns using transformation, clustering, filtration and visualisation. The presented approach involves spiral graphs for representation time dimension and cartographic visualisation through proportional point symbol map for representation of spatial dimension. The result is an intuitive visualisation of space–time series, conveying the sought-after spatio-temporal information. For practical tests, we used space–time series obtained by permanent scatterers interferometry (PS InSAR) to monitor the Earth’s surface movement above the underground gas storage (UGS) Tvrdonice, the Czech Republic. An UGS is characterised by periodic injection and withdrawal of natural gas, which induces periodic movement of the terrain above it. We have verified that our visualisation method provides the required pattern information and is easy to use.

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Smit, Gerard, Yael De Haan, and Laura Buijs. "Working with or next to each other? Boundary crossing in the field of information visualisation." Journal of Media Innovations 1, no. 2 (September 1, 2014): 36–51. http://dx.doi.org/10.5617/jmi.v1i2.875.

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Due to the need to present information in a fast and attractive way, organizations are eager to use information visualisations. This study explores the collision between the different experts involved in the production of these visualisations using the model of trading zones supplemented with the learning mechanisms found in the boundary crossing literature. Results show that that there is not one good solution to effective interdisciplinary cooperation in the field of information visualisation. All four types of cooperation that we distinguish – enforced, dominated, fractionated, and attuned – might work well, as long as they are adapted to the situation. In any case the involved experts and initiators have to understand and incorporate approaches that enhance the co-creative, iterative nature of the production process. Overlooking the different forms of collaboration we detect two major forms of trading zones: the one that encompasses the collaboration between an external client and a designer (external trading zone) and the trading zones within an organization between content producer and designer (internal trading zone). Both mechanisms of identifying each other’s expertise and coordinating the different tasks in the production process seem beneficial for the production process.

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Kadar, Rozita, Jamal Othman, Naemah Abdul Wahab, and Saiful Nizam Warris. "Semantic Metadata Information (SMI) Visualisation Technique Using the Integration of Ontology and UML Graph-Based Approach to Support Program Comprehension." Journal of Computing Research and Innovation 4, no. 1 (November 3, 2019): 52–63. http://dx.doi.org/10.24191/jcrinn.v4i1.107.

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Representing any ideas with pictures rather than words is intuitively more appealing because a visual presentation can be more readily understood than that of textual-based. Program visualisation is one of the techniques that can be used in teaching to help users in understanding how programs work. Program visualisation technique is a mental image or a visual representation of an object, scene, person or abstraction that is similar to visual perception. This technique is significant to users because the criteria of source code cannot be physically viewed. It is applicable in the process of writing programs as it helps users to understand their codes better. The purpose of program visualisation is to translate a program into a graphical view to show either the program code, data or control flow. Visualisation technique uses the capability of human visual system to enhance program comprehensibility. Thus, this study uses program visualisation technique to represent program domain in a graphical view to help novices in improving their comprehension. This research aims to support beginners or novice programmers who have been exposed to programming languages by providing effective visualisation technique.

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Ellis, G., and A. Dix. "A Taxonomy of Clutter Reduction for Information Visualisation." IEEE Transactions on Visualization and Computer Graphics 13, no. 6 (November 2007): 1216–23. http://dx.doi.org/10.1109/tvcg.2007.70535.

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Stowasser, S. "Computer-supported visualisation of distributed production area information." Production Planning & Control 17, no. 2 (March 2006): 202–13. http://dx.doi.org/10.1080/09537280500224176.

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Klinke, Sigbert. "Special issue: workshop data and information visualisation 2006." Computational Statistics 22, no. 4 (August 14, 2007): 497. http://dx.doi.org/10.1007/s00180-007-0056-x.

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Roberts, Richard, and Robert Laramee. "Visualising Business Data: A Survey." Information 9, no. 11 (November 17, 2018): 285. http://dx.doi.org/10.3390/info9110285.

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A rapidly increasing number of businesses rely on visualisation solutions for their data management challenges. This demand stems from an industry-wide shift towards data-driven approaches to decision making and problem-solving. However, there is an overwhelming mass of heterogeneous data collected as a result. The analysis of these data become a critical and challenging part of the business process. Employing visual analysis increases data comprehension thus enabling a wider range of users to interpret the underlying behaviour, as opposed to skilled but expensive data analysts. Widening the reach to an audience with a broader range of backgrounds creates new opportunities for decision making, problem-solving, trend identification, and creative thinking. In this survey, we identify trends in business visualisation and visual analytic literature where visualisation is used to address data challenges and identify areas in which industries use visual design to develop their understanding of the business environment. Our novel classification of literature includes the topics of businesses intelligence, business ecosystem, customer-centric. This survey provides a valuable overview and insight into the business visualisation literature with a novel classification that highlights both mature and less developed research directions.

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Ruddle, Roy A., Muhammad Adnan, and Marlous Hall. "Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data." BMJ Open 12, no. 11 (November 2022): e064887. http://dx.doi.org/10.1136/bmjopen-2022-064887.

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ObjectivesMissing data is the most common data quality issue in electronic health records (EHRs). Missing data checks implemented in common analytical software are typically limited to counting the number of missing values in individual fields, but researchers and organisations also need to understand multifield missing data patterns to better inform advanced missing data strategies for which counts or numerical summaries are poorly suited. This study shows how set-based visualisation enables multifield missing data patterns to be discovered and investigated.DesignDevelopment and evaluation of interactive set visualisation techniques to find patterns of missing data and generate actionable insights. The visualisations comprised easily interpretable bar charts for sets, heatmaps for set intersections and histograms for distributions of both sets and intersections.Setting and participantsAnonymised admitted patient care health records for National Health Service (NHS) hospitals and independent sector providers in England. The visualisation and data mining software was run over 16 million records and 86 fields in the dataset.ResultsThe dataset contained 960 million missing values. Set visualisation bar charts showed how those values were distributed across the fields, including several fields that, unexpectedly, were not complete. Set intersection heatmaps revealed unexpected gaps in diagnosis, operation and date fields because diagnosis and operation fields were not filled up sequentially and some operations did not have corresponding dates. Information gain ratio and entropy calculations allowed us to identify the origin of each unexpected pattern, in terms of the values of other fields.ConclusionsOur findings show how set visualisation reveals important insights about multifield missing data patterns in large EHR datasets. The study revealed both rare and widespread data quality issues that were previously unknown, and allowed a particular part of a specific hospital to be pinpointed as the origin of rare issues that NHS Digital did not know exist.

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Journal articles on the topic 'Information visualisation'

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