Kernel density estimation (KDE) is a classic approach for spatial point pattern analysis. In
many applications, KDE with spatially adaptive bandwidths (adaptive KDE) is preferred over …

The reliability of raster cellular automaton (CA) models for fine-scale land change
simulations has been increasingly questioned, because regular pixels/grids cannot …

为精准快速地获得GPU 功耗数据, 提出一种基于硬件性能计数事件的通用图形处理器(GPGPU)
功耗估算方法. 通过分析GPGPU 程序运行时的功耗分布情况, 选择一组与应用程序运行功耗 …

Many spatial phenomena are difficult, dangerous, costly or impossible to reproduce, making
their simulation the only option. Wildfires, large floods or epidemics are examples in which …

Spatiotemporal simulations can provide critical insights to understand the underlying
mechanisms of complex geographic phenomena. Therefore, spatiotemporal simulations …

Clusters with the CPU‐MIC heterogeneous architecture are becoming more popular in
recent years. However, it is not easy to achieve good performance on such machines. The …

Spatiotemporal computation implements a variety of different algorithms. When big data are
involved, desktop computer or standalone application may not be able to complete the …