Advancing lattice data techniques using multiscale decomposition : simulations and applications

The supporting material includes figures and tables of the work where spatial lattice techniques and methods were developed to detect and predict spatial hotspots. The multiscale decomposition algorithm, the Discrete pulse transform, is first extended to irregular lattice data to detect hotspots in spatial lattice data. Thereafter the variogram estimation (adopted from geostatistical analysis) is extended to spatial lattice data which is then utilized in a Geographically and temporally weighted regression spatio-temporal kriging method to predict spatial hotspots.

本数据集所附材料包括图表，其中阐述了在空间晶格技术与方法开发过程中，用于探测与预测空间热点的方法。首先，多尺度分解算法，即离散脉冲变换，被扩展应用于不规则晶格数据，以探测空间晶格数据中的热点。随后，变异函数估计（借鉴自地统计学分析）被拓展至空间晶格数据，进而应用于地理位置及时间加权回归的时空克里金方法，以预测空间热点。