The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics

This paper introduces the R package HDSpatialScan. This package allows users to easily apply spatial scan statistics to real-valued multivariate data or both univariate and multivariate functional data. It also permits plotting the detected clusters and to summarize them. In this article the methods are presented and the use of the package is illustrated through examples on environmental data provided in the package.

Camille Frévent (University of Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, INRIA‐MODAL) , Mohamed-Salem Ahmed (University of Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales) , Julien Soula (University of Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales) , Lionel Cucala (IMAG, Université de Montpellier, CNRS) , Zaineb Smida (IMAG, University of Montpellier, CNRS) , Sophie Dabo-Niang (Laboratoire Paul Painvelé UMR CNRS 8524, INRIA‐MODAL, University of Lille) , Michaël Genin (University of Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales)
2022-12-20

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2022-045.zip

References

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Citation

For attribution, please cite this work as

Frévent, et al., "The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics", The R Journal, 2022

BibTeX citation

@article{RJ-2022-045,
  author = {Frévent, Camille and Ahmed, Mohamed-Salem and Soula, Julien and Cucala, Lionel and Smida, Zaineb and Dabo-Niang, Sophie and Genin, Michaël},
  title = {The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics},
  journal = {The R Journal},
  year = {2022},
  note = {https://doi.org/10.32614/RJ-2022-045},
  doi = {10.32614/RJ-2022-045},
  volume = {14},
  issue = {3},
  issn = {2073-4859},
  pages = {95-120}
}

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