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A systematic review on spatial crime forecasting.

Ourania KounadiAlina RisteaAdelson AraujoMichael Leitner
Published in: Crime science (2020)
Although we identified several opportunities and strengths there are also some weaknesses and threats for which we provide suggestions. Future studies should not neglect the juxtaposition of (existing) algorithms, of which the number is constantly increasing (we enlisted 66). To allow comparison and reproducibility of studies we outline the need for a protocol or standardization of spatial forecasting approaches and suggest the reporting of a study's key data items.
Keyphrases
  • case control
  • machine learning
  • randomized controlled trial
  • electronic health record
  • deep learning
  • current status
  • emergency department
  • artificial intelligence