Visual Analytics of Volunteered Geographic Information : Detection and Investigation of Urban Heat Islands

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2019
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Zusammenfassung

Urban heat islands are local areas where the temperature is much higher than in the vicinity and are a modern phenomenon that occurs mainly in highly developed areas, such as large cities. This effect has a negative impact on energy management in buildings and also has a direct impact on human health, especially for elderly people. With the advent of volunteered geographic information from private weather station networks, more high resolution data is now available within cities to better analyze this effect. However, such data sets are large and have heterogeneous characteristics requiring visual-interactive applications to support further analysis. We use machine learning methods to predict urban heat islands occurrences and utilize temporal and spatio-temporal visualizations to contextualize the emergence of urban heat islands to comprehend the influencing causes and their effects. Subsequently, we demonstrate the analysis capabilities of our application by presenting two use cases.

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004 Informatik
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Urban Heat Islands, Visual Analytics, Spatio-Temporal Visualization, Analysis, Predictive Analytics
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ISO 690SEEBACHER, Daniel, Matthias MILLER, Tom POLK, Johannes FUCHS, Daniel A. KEIM, 2019. Visual Analytics of Volunteered Geographic Information : Detection and Investigation of Urban Heat Islands. In: IEEE Computer Graphics and Applications. 2019, 39(5), pp. 83-95. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2019.2926242
BibTex
@article{Seebacher2019-09-01Visua-46246,
  year={2019},
  doi={10.1109/MCG.2019.2926242},
  title={Visual Analytics of Volunteered Geographic Information : Detection and Investigation of Urban Heat Islands},
  number={5},
  volume={39},
  issn={0272-1716},
  journal={IEEE Computer Graphics and Applications},
  pages={83--95},
  author={Seebacher, Daniel and Miller, Matthias and Polk, Tom and Fuchs, Johannes and Keim, Daniel A.}
}
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