Abstract
This paper introduces an approach for visualizing large spatial time series data sets on mobile devices. The HeatTile system (Meier et al. 2014) is used and extended with a progressive loading approach, the stream approach. By combining those two approaches, this study aimed to overcome the performance and bandwidth limitations inherent to mobile devices. This chapter focuses on the technological advantages of the presented approach in a performance comparison with other common approaches. Furthermore, an animated time series visualization is introduced, as well as an interface designed specifically for the presented method in order to emphasize the advantages of the approach. To further highlight the possible applications of the method, two real-world use cases are presented.
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Acknowledgments
The modified HeatTile system, prototypes, and code examples are available on GitHub under MIT’s/GPL’s open-source software license: https://github.com/sebastian-meier/HeatTiles
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Meier, S. (2015). Visualizing Large Spatial Time Series Data on Mobile Devices: Combining the HeatTile System with a Progressive Loading Approach. In: Robbi Sluter, C., Madureira Cruz, C., Leal de Menezes, P. (eds) Cartography - Maps Connecting the World. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-17738-0_12
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