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Shuai Yang, Yueqin Zhang and Zehua Zhang
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
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Weijie Zhang, Kai Feng, Fei Wang, Wenjun Wang, Zezhong Zhang, Yingying Wang and Shengzhi Huang
Meteorological drought is a continuous spatiotemporal phenomenon that poses a serious threat to water resource security. Dynamic evolution and multivariable frequency analysis of meteorological drought are important for effective drought mitigation and r...
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Ding Ma, Sijia Jiang, Xin Tan, Mingyu Yang, Qingbin Jiao and Liang Xu
Using remote sensing and GIS techniques to monitor long time series land cover changes is of great significance to understanding the impact of human activities on spatiotemporal conflicts and changes in cropland and forest ecosystems in the black soil re...
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Zhenxin Li, Yong Han, Zhenyu Xu, Zhihao Zhang, Zhixian Sun and Ge Chen
Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a...
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