Corpus ID: 56095581

Kernel-based Visualization of Point Patterns in Python with Application to Tornado Landing Data

@inproceedings{Hu2016KernelbasedVO,
  title={Kernel-based Visualization of Point Patterns in Python with Application to Tornado Landing Data},
  author={Weifeng Hu},
  year={2016}
}
  • Weifeng Hu
  • Published 2016
  • Many data sets come as point patterns of the form (longitude, latitude, time, magnitude). The examples of data sets in this format includes tornado events, origins/destination of internet flows, earthquakes, terrorist attacks and etc. It is difficult to visualize the data with simple plotting. This research project studies and implements non-parametric kernel smoothing in Python as a way of visualizing the intensity of point patterns in space and time. A two-dimensional grid M with size mx×my… CONTINUE READING

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