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CooccurViewer

The project seeks to expose correlation of observations made between any pair of events in a data sequence. In this project, we present two methods for identifying interesting co-occurrences (see the manuscript for a detailed discussion).

A demo is availble of these two approaches through the project website.

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Institution: Department of Computer Sciences at the University of Wisconsin—Madison

HerbariaViz

HerbariaViz is a web mapping application that provides space–time–species data query responses efficiently. The open-source methods for aggregating point data spatially and temporally, outline our approach to sound cartographic representations of those data, and detail the design of a client interface for making requests and mapping responses. A focus group session involving domain experts was performed to provide user evaluation of the application. In our discussion, we present potential avenues of future work, including: facilitating query response comparisons, handling incomplete and inaccurate data, and generalizing the method presented.

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Institution: GeoVISTA Center, Penn State University

VIPER

VIPER (Visual Pedigree Explorer) is a tool for exploring large complex animal pedigrees and their associated genotype data. The tool combines a novel, space-efficient visualisation of the pedigree structure with an inheritance-checking algorithm. This allows users to explore the apparent errors within the genotype data in the full context of the family and pedigree structure. Ultimately, the aim is to develop an interactive software application that will allow users to identify, confirm and then remove errors from the pedigree structure and scored genotypes. 

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Institution: The Roslin Institute University of Edinburgh, School of Computing Edinburgh Napier University

Vesper

VESpeR is a suite of web-based visualisation components that enable biologists to investigate the taxonomic, temporal and geographic coverage of DWCA species-referenced data that can be placed directly into the workflow of biologists who use such data. VESpeR allows biologists to perform tasks such as sanity checking of data, view patterns in geographical, taxonomic or temporal aspects in an interrelated context, and accurately view data even when it spans conflicting taxonomic classifications. This can make a significant contribution to the efficiency and usability of online catalogues for both the providers and end-users of the data they hold. Co-ordinated components The components are co-ordinated such that selections and actions in one component will be reflected in the data shown in other components. VESpeR multiple views VESpeR includes

  • a novel cross-taxonomy viewer that allows users to crosswalk different classifications, allowing them to accurately match specimens between data from different sources
  • interactive map to investigate specimen geographic coverage
  • interactive timeline to investigate specimen temporal coverage
  • sanity checker to view data completeness and vocabulary size

Bio-visualisation Visualisation techniques have been recognised as one of the major directions in future research when handling and querying biological data, offering the ability to find patterns and outliers in data which traditional query interfaces cannot match. A case in point is the multitude of species-referenced databases covering data from genomic to biodiversity data linked by taxonomic classifications that hold geographic and temporal-faceted data alongside other data. Many online databases hold collections of such data, often in archive format, but visual querying tools are invariably limited to a map interface of spatial distribution, neglecting the fact that biologists may wish to query or explore other facets of the data such as the classification or temporal distribution. Add onto this the problem of many complementary databases using different taxonomic classifications to reference their specimens and we have a situation where much of the potential utility of this data remains unused. VESpeR is designed to help address this.

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Institution: IIDI

VESpeR is a project at the Institute for Informatics and Digital Innovation. The Institute is part of Edinburgh Napier University based in Scotland, United Kingdom. At the Institute for Informatics & Digital Innovation we are dedicated to helping you and your organisation deal with new digital challenges and opportunities as they arise. We can help you to look ahead and shape our digital future. We work across every field of computer technology from sensors and mobile networks to data intensive applications requiring intelligent processing and filtering. We can help you explore not just the technology but how people interact with the technology and how it impacts on society. www.iidi.napier.ac.uk Tel: +44 (0)131 455 2651 Email: iidi@napier.ac.uk