Using kernel density function as an urban analysis tool: Investigating the association between nightlight exposure and the incidence of breast cancer in Haifa, Israel

@article{Kloog2009UsingKD,
  title={Using kernel density function as an urban analysis tool: Investigating the association between nightlight exposure and the incidence of breast cancer in Haifa, Israel},
  author={Itai Kloog and Abraham Haim and Boris A. Portnov},
  journal={Computers, Environment and Urban Systems},
  year={2009},
  volume={33},
  pages={55-63}
}
0198-9715/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.compenvurbsys.2008.09.006 * Corresponding author. E-mail address: portnov@nrem.haifa.ac.il (B.A. Por The kernel density (KD) function estimates the intensity of events across a surface by calculating the overall number of cases situated within a given search radius from a target point. To form a continuous surface from individual observations, the KD technique does not require the presence of a parameter’s value in a given location… CONTINUE READING

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