Galbraith, Christopher

Smyth, Padhraic

Iowa State University Computer Science Technical Reports

Spatial DNA: Measuring similarity of geolocation datasets with applications to forensics

Digital Repository @ Iowa State University (ISU)

Spatial DNA: Measuring Similarity of Geolocation DataSets with Applications to ForensicsChristopher Galbraith†Padhraic Smyth‡†Department of Statistics‡Department of Computer ScienceJuly 31, 2019ics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 1 / 71Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgAcknowledgementsThe material presented here is based upon work supported by the National Institute ofScience and Technology under Award No. 70NANB15H176. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s)and do not necessarily reflect the views of the National Institute of Science andTechnology, nor of the Center for Statistics and Applications in Forensic Evidence.ics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 2 / 72Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 3 / 73Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgProblem Statementics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 4 / 74Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgMethodologyics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 5 / 75Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgResultsTemporal point patterns, see (Galbraith & Smyth, 2017; Galbraith,Smyth, & Stern, 2019) and R package assocrSpatial point patterns:ics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 6 / 76Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.orgReferencesGalbraith, C., & Smyth, P. (2017). Analyzing user-event data using score-based likelihood ratioswith marked point processes. Digital Investigation, 22, S106 - S114. doi:https://doi.org/10.1016/j.diin.2017.06.009Galbraith, C., Smyth, P., & Stern, H. S. (2019). Quantifying the association between discreteevent time series with applications to digital forensics. Submitted to J. R. Stat. Soc. A.ics.uci.edu/~galbraic/ Spatial DNA July 31, 2019 7 / 77Research funded by the Center for Statistics and Applications in Forensic Evidence (CSAFE) - forensicstats.org

https://dr.lib.iastate.edu/handle/20.500.12876/20325

Spatial DNA: Measuring similarity of geolocation datasets with applications to forensics

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Iowa State University Computer Science Technical Reports

Digital Repository @ Iowa State University (ISU)