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    Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species (English)

    In: 2017 IEEE Visualization in Data Science (VDS) ; 1-6  ; 2017

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    Invasive species are a major cause of ecological damage and commercial losses. A current problem spreading in North America and Europe is the vinegar fly Drosophila suzukii. Unlike other Drosophila, it infests non-rotting and healthy fruits and is therefore of concern to fruitgrowers, such as vintners. Consequently, large amounts of data about infestations have been collected in recent years. However, there is a lack of interactive methods to investigate this data. We employ ensemble-based classification to predict areas susceptible to infestation by D.suzukii and bring them into a spatio-temporal context using maps and glyph-based visualizations. Following the information-seeking mantra, we provide a visual analysis system Drosophigatorfor spatio-temporal event prediction, enabling the investigation of the spread dynamics of invasive species. We demonstrate the usefulness of this approach in two use cases.

    Table of contents conference proceedings

    The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

    1
    Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species
    Seebacher, Daniel / Hausler, Johannes / Hundt, Michael / Stein, Manuel / Muller, Hannes / Engelke, Ulrich / Keim, Daniel et al. | 2017
    7
    Clear Visual Separation of Temporal Event Sequences
    Mathisen, Andreas / GrOnbak, Kaj et al. | 2017
    15
    Visual Integration of Data and Model Space in Ensemble Learning
    Schneider, Bruno / Jackle, Dominik / Stoffel, Florian / Diehl, Alexandra / Fuchs, Johannes / Keim, Daniel et al. | 2017
    23
    Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
    Zheng, Yan / Ou, Yi / Lex, Alexander / Phillips, Jeff M. et al. | 2017
    31
    Visual Progression Analysis of Student Records Data
    Raji, Mohammad / Duggan, John / DeCotes, Blaise / Huang, Jian / Zanden, Bradley Vander et al. | 2017
    39
    CancerLinker: Explorations of Cancer Study Network
    Nguyen, Vinh / Kabir, Md Yasin / Dang, Tommy et al. | 2017
    47
    Crop Planning using Stochastic Visual Optimization
    Sehgal, Gunjan / Gupta, Bindu / Paneri, Kaushal / Singh, Karamjit / Sharma, Geetika / Shroff, Gautam et al. | 2017
    52
    Visualizing Sensor Network Coverage with Location Uncertainty
    Sodergren, Tim / Hair, Jessica / Phillips, Jeff M. / Wang, Bei et al. | 2017
    i
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    | 2017
    i
    Table of contents
    | 2017

    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €30.54 Basic fee: €4.00 Total price: €34.54
    Academic Copyright fee: €30.54 Basic fee: €2.00 Total price: €32.54

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