How users interact with biodiversity information using TaxonTree

Lee, Bongshin; Parr, Cynthia; Campbell, Daniel; Bederson, Benjamin B.

doi:10.1145/989863.989918

Cited by 18 publications

(12 citation statements)

References 23 publications

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“…The taxa for living beings are distributed in a Linnaean classification, where groupings receive a rank, such as Kingdom, Phylum, Class, Order, Family, Genus, and Species (in decreasing order of inclusiveness) [9]. The taxon's attributes are inherited by its children nodes, which in turn can have other attributes that are inherited by their children, and so on.…”

Section: A Taxonomy Treementioning

confidence: 99%

“…The database structure is based on the taxonomic tree, which ranks each node based on the Linnaean classification: Kingdom, Phylum, Class, Order, Family, Genus, and Species, in decreasing order of inclusiveness [9]. Each collected specimen is recorded in the database as children of its species node, which is children of a higher rank and so on, forming the taxonomic hierarchy.…”

Section: A Data Modelmentioning

confidence: 99%

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Using Visualization Techniques for Supporting Interaction with the TaxonomyBrowser Database

Rey

Freitas

2018

JIS

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TaxonomyBrowser is a biodiversity information system developed to manage data collected by biologists during field work as well as data resulting from further analyses. It was developed as a web application and stores data on a database organized according to the taxonomic tree of leaving species, i.e., specimens collected or observed during field work are recorded in the database classified as pertaining to some level in the taxonomic tree. In its first version, TaxonomyBrowser had a common, form-based user interface for managing the database. This work presents the new visualization-based interface of the system, describing the features that are available for entering data from collected specimens as well as accessing data through different visualization techniques. The interface was assessed by means of a survey with remote users in order to evaluate the provided features and validate the concept of a visualization-based interface for such kind of system. Participants considered the application to be intuitive, and most of them provided positive feedback.

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Section: A Taxonomy Treementioning

confidence: 99%

Section: A Data Modelmentioning

confidence: 99%

Using Visualization Techniques for Supporting Interaction with the TaxonomyBrowser Database

Rey

Freitas

2018

JIS

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“…Such taxonomies are composed of taxonomic units known as taxa (singular: taxon), frequently arranged in a hierarchical structure and related to one another by 'parent-child' relationships, as can be seen in Figure 2.1. These taxa are distributed in a Linnaean classification, where groupings receive a rank, such as Kingdom, Phylum, Class, Order, Family, Genus, and Species (in decreasing order of inclusiveness) (LEE et al, 2004). The taxon's attributes are inherited by its children nodes.…”

Section: Taxonomy Treementioning

confidence: 99%

A Visualization-based Approach for the TaxonomyBrowser Interface

Rey

Freitas

2017

Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems

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The process of collecting biological data is a continuous activity, specially in field work for university projects and courses. Data from these collections needs to be properly stored in order to be readily available for future analysis. This is particularly important since a significant amount of data tends to be lost when the students responsible for collection leave their undergraduate or graduate programs and do not share their contributions for future projects. These students are frequently worried about storing their work on a public database. TaxonomyBrowser is a biodiversity information system developed to manage data collected by biologists during field work, as well as specimens registered in museum collections. This work describes a new approach on the TaxonomyBrowser's user interface, focusing on providing an easier and more intuitive method of visualizing and managing the database information. The interface layout was based on Shneiderman's Visual Information Seeking Mantra: overview first, zoom and filter, then details on demand. We limited the access to certain specimen's information depending on the user's authentication by altering the original database structure in order to associate each specimen created to accounts or groups of users.

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“…Our previous work on SpaceTree and TaxonTree suggested that interaction with and interpretation of node-link tree structures pose little difficulty for novice users and therefore interactive tree visualizations can be used for a broad audience [27], [32].…”

Section: Take Advantage Of Human Perception Of Treesmentioning

confidence: 99%

TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts

Lee

Parr

Plaisant

et al. 2006

IEEE Trans. Visual. Comput. Graphics

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Abstract-Despite extensive research, it is still difficult to produce effective interactive layouts for large graphs. Dense layout and occlusion make food webs, ontologies, and social networks difficult to understand and interact with. We propose a new interactive Visual Analytics component called TreePlus that is based on a tree-style layout. TreePlus reveals the missing graph structure with visualization and interaction while maintaining good readability. To support exploration of the local structure of the graph and gathering of information from the extensive reading of labels, we use a guiding metaphor of "Plant a seed and watch it grow." It allows users to start with a node and expand the graph as needed, which complements the classic overview techniques that can be effective at (but often limited to) revealing clusters. We describe our design goals, describe the interface, and report on a controlled user study with 28 participants comparing TreePlus with a traditional graph interface for six tasks. In general, the advantage of TreePlus over the traditional interface increased as the density of the displayed data increased. Participants also reported higher levels of confidence in their answers with TreePlus and most of them preferred TreePlus.

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How users interact with biodiversity information using TaxonTree

Cited by 18 publications

References 23 publications

Using Visualization Techniques for Supporting Interaction with the TaxonomyBrowser Database

Using Visualization Techniques for Supporting Interaction with the TaxonomyBrowser Database

A Visualization-based Approach for the TaxonomyBrowser Interface

TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts

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