Principles of Interactive Visualisation

Interactive Visualisation and Testing of Jini Services

Fifth International Conference on Quality Software (QSIC'05) ◽

10.1109/qsic.2005.37 ◽

2006 ◽

Author(s):

B. Quig ◽

M. Kolling ◽

J. Rosenberg ◽

P. Steele

Keyword(s):

Interactive Visualisation

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Extending Measurement Science to Interactive Visualisation Environments

Trends in Interactive Visualization - Advanced Information and Knowledge Processing ◽

10.1007/978-1-84800-269-2_13 ◽

2008 ◽

pp. 287-302 ◽

Cited By ~ 3

Author(s):

Judith Terrill ◽

William George ◽

Terence Griffin ◽

John Hagedorn ◽

John Kelso ◽

...

Keyword(s):

Measurement Science ◽

Interactive Visualisation

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iSEE: Interactive SummarizedExperiment Explorer

F1000Research ◽

10.12688/f1000research.14966.1 ◽

2018 ◽

Vol 7 ◽

pp. 741 ◽

Cited By ~ 26

Author(s):

Kevin Rue-Albrecht ◽

Federico Marini ◽

Charlotte Soneson ◽

Aaron T.L. Lun

Keyword(s):

High Throughput ◽

Software Package ◽

Biological Data ◽

Data Exploration ◽

Data Sets ◽

Proteomics Data ◽

Code Tracking ◽

Dynamic Linking ◽

Interactive Visualisation ◽

Visual Interface

Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets.

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Nextstrain: real-time tracking of pathogen evolution

10.1101/224048 ◽

2017 ◽

Cited By ~ 21

Author(s):

James Hadfield ◽

Colin Megill ◽

Sidney M. Bell ◽

John Huddleston ◽

Barney Potter ◽

...

Keyword(s):

Public Health ◽

Real Time ◽

Web Application ◽

Sequence Data ◽

Data Types ◽

Bioinformatics Pipeline ◽

Public Health Importance ◽

Viral Genomes ◽

Effective Public Health ◽

Interactive Visualisation

AbstractSummaryUnderstanding the spread and evolution of pathogens is important for effective public health measures and surveillance. Nextstrain consists of a database of viral genomes, a bioinformatics pipeline for phylodynamics analysis, and an interactive visualisation platform. Together these present a real-time view into the evolution and spread of a range of viral pathogens of high public health importance. The visualization integrates sequence data with other data types such as geographic information, serology, or host species. Nextstrain compiles our current understanding into a single accessible location, publicly available for use by health professionals, epidemiologists, virologists and the public alike.Availability and implementationAll code (predominantly JavaScript and Python) is freely available from github.com/nextstrain and the web-application is available at nextstrain.org.

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TIARA 2.0: an interactive tool for annotating discourse structure and text improvement

Language Resources and Evaluation ◽

10.1007/s10579-021-09566-0 ◽

2021 ◽

Author(s):

Jan Wira Gotama Putra ◽

Kana Matsumura ◽

Simone Teufel ◽

Takenobu Tokunaga

Keyword(s):

Visual Complexity ◽

Discourse Structure ◽

Annotation Tool ◽

Web Technologies ◽

Four Levels ◽

Structure Annotation ◽

Argumentative Structure ◽

Discourse Units ◽

Interactive Visualisation ◽

Tree View

AbstractDiscourse structure annotation aims at analysing how discourse units (e.g. sentences or clauses) relate to each other and what roles they play in the overall discourse. Several annotation tools for discourse structure have been developed. However, they often only support specific annotation schemes, making their usage limited to new schemes. This article presents TIARA 2.0, an annotation tool for discourse structure and text improvement. Departing from our specific needs, we extend an existing tool to accommodate four levels of annotation: discourse structure, argumentative structure, sentence rearrangement and content alteration. The latter two are particularly unique compared to existing tools. TIARA is implemented on standard web technologies and can be easily customised. It deals with the visual complexity during the annotation process by systematically simplifying the layout and by offering interactive visualisation, including clutter-reducing features and dual-view display. TIARA’s text-view allows annotators to focus on the analysis of logical sequencing between sentences. The tree-view allows them to review their analysis in terms of the overall discourse structure. Apart from being an annotation tool, it is also designed to be useful for educational purposes in the teaching of argumentation; this gives it an edge over other existing tools.

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DEVELOPING A 3-D GIS MODEL FOR URBAN PLANNING. CASE STUDY: AMPANG JAYA, MALAYSIA

PLANNING MALAYSIA JOURNAL ◽

10.21837/pmjournal.v16.i7.501 ◽

2018 ◽

Vol 16 (7) ◽

Author(s):

Mimi Zaleha Abdul Ghani ◽

Yazid Sarkom ◽

Zalina Samadi

Keyword(s):

Decision Making ◽

Urban Planning ◽

Spatial Information ◽

Gis Model ◽

Written Information ◽

Urban Planning And Design ◽

Spatio Temporal ◽

The Rich ◽

Interactive Visualisation

This paper aims to explore the rich potential of interactive visualisation environment integrating GIS for modelling urban growth and spatio-temporal transformation of Malaysian cities. As a case study example, authors consider a 3-D GIS model of Ampang Jaya, Selangor to investigate the techniques of data acquisition, data reconstruction from physical to digital, urban analysis and visualisation in constructing a digital model ranging from low to high geometric content including 2-D digital maps, digital orthographic and full volumetricparametric modelling. The key aspect of this virtual model is how it would assist in understanding the urban planning and design of Ampang Jaya by translating complex spatial information that are currently used by the authorities for planning activities such as maps, plans and written information into responsive, easily understandable spatial information. It could serve as a new platform to disseminate information about Ampang Jaya, bridge gaps among professionals involved in planning processes, improve communications among decision makers, stakeholders and the public as well as support decision making about thespatial growth of Ampang Jaya. Demonstrations of Ampang Jaya will also provide a clearer picture of the importance of ownership and control of 3-D models by local councils in empowering them in decision making, for example, in improving transparency, and avoiding misuse by project developers (Shiffer 1993; Sunesson et al., 2008). Such environment will improve the subsequent digital models and research in the area of urban design and planning in Malaysia where visual communication is pivotal.

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DPUK Cohort Explorer: An Interactive Visualisation Tool

International Journal for Population Data Science ◽

10.23889/ijpds.v5i5.1432 ◽

2020 ◽

Vol 5 (5) ◽

Author(s):

Laura North

Keyword(s):

Real World ◽

Data Transfer ◽

Real World Data ◽

World Data ◽

Visualisation Tool ◽

Field Level ◽

Level Information ◽

Data Portal ◽

Portal Website ◽

Interactive Visualisation

IntroductionThe Dementias Platform UK (DPUK) Cohort Explorer is an interactive, online visualisation tool that allows users to explore data for a number of DPUK cohorts. Over 30 variables across cohorts have been harmonised, including information on demographics, lifestyle, cognition, health, and genetic biomarkers. Objectives and ApproachThe tool has been developed to complement existing DPUK cohort metadata to provide a visual representation of participant numbers and field-level information for a selection of cohorts. This enables users to determine a cohort’s eligibility before applying for access to a cohort’s data, and aid in shaping potential hypotheses. Developed using Microsoft PowerBI, the Explorer hosts a subset of the cohort’s baseline, harmonised data, allowing a user to interrogate the visualisations of the uploaded data in a secure manner on the DPUK Data Portal website. Visualisations are linked so that participant numbers and distributions can be explored interactively. ResultsThis approach allows the user to explore the harmonised data across a number of cohorts simultaneously whilst setting and adjusting filters that are of interest to the user’s search criteria. This provides a better understanding of the real-world data and enables the user to determine the feasibility of each cohort for potential studies, whilst facilitating meaningful comparisons across cohorts. The tool currently visualises five DPUK cohorts with a total of 82,391 participants, however it is being incrementally developed with more cohorts being added continually. Conclusion / ImplicationsBy combing an easy-to-use, interactive dashboard with harmonised sets of real-world data, the tool allows the user to explore, interrogate and better understand field-level information in a secure manner with zero data transfer. This provides more insight for the user when applying for access to a cohort dataset using the DPUK Data Portal and may help the user to make more informed decisions and/or hypotheses.

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