A Clustering Algorithm to Organize Satellite Hotspot Data for the
  Purpose of Tracking Bushfires Remotely
Weihao Li Emily Dodwell Dianne Cook
This paper proposes a spatiotemporal clustering algorithm and its
implementation in the R package spotoroo. This work is motivated by the
catastrophic bushfires in Australia throughout the summer of 2019-2020 and made
possible by the availability of satellite hotspot data. The algorithm is
inspired by two existing spatiotemporal clustering algorithms but makes
enhancements to cluster points spatially in conjunction with their movement
across consecutive time periods. It also allows for the adjustment of key
parameters, if required, for different locations and satellite data sources.
Bushfire data from Victoria, Australia, is used to illustrate the algorithm and
its use within the package.