LFPeers: Temporal Similarity Search in Covid-19 Data
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, we introduce a general concept for the analysis of temporal and multimodal data and the system LFPeers that applies this concept to the analysis of countries in a Covid-19 dataset. Our concept divides the analysis in two phases: a search phase to find the most similar objects to a target object before a time point t0, and an exploration phase to analyze this subset of objects after t0. LFPeers targets epidemiologists and the public who want to learn from the Covid-19 pandemic and distinguish successful and ineffective measures.
Description
@inproceedings{10.2312:eurova.20211098,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Vrotsou, Katerina and Bernard, Jürgen},
title = {{LFPeers: Temporal Similarity Search in Covid-19 Data}},
author = {Burmeister, Jan and Bernard, Jürgen and Kohlhammer, Jörn},
year = {2021},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-150-2},
DOI = {10.2312/eurova.20211098}
}