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Heattile, a new method for heatmap implementations for mobile web-based cartographic applications
(2014)
Mobile handheld computing devices are becoming a more important part of our digital infrastructure. Web-based map services and visualisations for spatial data are being optimised for use on these new mobile devices. Despite the fast development of mobile devices, compared to laptop and desktop computers they remain slower in terms of processing power and have limited memory capacity. Bandwidth in most areas is still limited, regardless of the fast expansion of high-speed internet for mobile devices. To overcome these two limitations an improvement in existing spatial data visualisations is necessary. This chapter compares existing methods and presents a new approach to generating and delivering web-based heat map visualisations for spatial data that is optimised for mobile devices.
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.