References
- Betebenner, D. (2017). Package ‘randomNames’. Retrieved from ftp://cran.r-project.org/pub/R/web/packages/randomNames/randomNames.pdf
- Bieber, F. R. (2006). Turning base hits into earned runs: Improving the effectiveness of forensic DNA data bank programs. The Journal of Law, Medicine & Ethics, 34(2), 222–233. doi: 10.1111/j.1748-720X.2006.00029.x
- Bruenisholz, E., Prakash, S., Ross, A., Morelato, M., O’Malley, T., Raymond, M. A., … Walsh, S. (2016). The intelligent Use of forensic data: An introduction to the principles. Forensic Science Policy & Management: An International Journal, 7(1–2), 21–29. doi: 10.1080/19409044.2015.1084405
- Bureau of Alcohol, Tobacco, Firearms, and Explosives. (2018). National Integrated Ballistic Information Network (NIBIN). Retrieved from https://www.atf.gov/firearms/national-integrated-ballistic-information-network-nibin
- City of Chicago. (2012). Chicago Street Names. Retrieved from https://data.cityofchicago.org/Transportation/Chicago-Street-Names/i6bp-fvbx
- Cook, R., Evett, I., Jackson, G., Jones, P., & Lambert, J. (1998). A model for case assessment and interpretation. Science & Justice, 38(3), 151–156. doi: 10.1016/S1355-0306(98)72099-4
- Federal Bureau of Investigation. (2018a). CODIS-NDIS Statistics. Retrieved from https://www.fbi.gov/services/laboratory/biometric-analysis/codis/codis-and-ndis-fact-sheet
- Federal Bureau of Investigation. (2018b). Next Generation Identification (NGI). Retrieved from https://www.fbi.gov/services/cjis/fingerprints-and-other-biometrics/ngi
- Hill, C. R., Duewer, D. L., Kline, M. C., Coble, M. D., & Butler, J. M. (2013). U.S. Population data for 29 autosomal STR loci. Forensic Science International: Genetics, 7(3), e82–e83. doi: 10.1016/j.fsigen.2012.12.004
- i2 Analyst’s Notebook User Guide. (2009). i2 Limited.
- IBM. (2018). IBM Knowledge Center – about ActiveX Technology. Retrieved from https://www.ibm.com/support/knowledgecenter/en/SS6V3G_5.3.1/com.ibm.help.gswapplintug.doc/GSW_About_ActiveX_Technology.html.
- IBM. (2018). IBM Knowledge Center – Example batch import. Retrieved from https://www.ibm.com/support/knowledgecenter/SSXVXZ_2.2.0/com.ibm.i2.anb.doc/series_batch_import.html.
- IBM. (2018, October 7). IBM i2 iBase – overview – United States. Retrieved from https://www.ibm.com/us-en/marketplace/data-management
- IBM Support. (2015, November 5). IBM importing large amounts of data into IBM i2 Analyst’s Notebook can cause a Unhandled Exception error – United States [CT741]. Retrieved from http://www.ibm.com/support, https://www-304.ibm.com/support/docview.wss?uid=swg21903175
- Jackson, G., & Jones, P. J. (2009). Case assessment and interpretation. Wiley Encyclopedia of Forensic Science.
- Joyal, R. G. (2012). State fusion centers their effectiveness in information sharing and intelligence analysis. TX, El Paso: LFB Scholarly Publishing LLC.
- Kopp, I. (2007). Review of resource needs in the Forensic Science Laboratory and the Wider Scientific Context in Ireland.
- McCartney, C. (2015). Forensic data exchange: Ensuring integrity. Australian Journal of Forensic Sciences, 47(1), 36–48. doi: 10.1080/00450618.2014.906654
- Meissner, P. (2015). Making R Files Executable (under Windows). Retrieved from http://www.r-datacollection.com/blog/making-r-files-executable/
- National Institute of Justice. (2018). Predictive policing. Retrieved from https://www.nij.gov/topics/law-enforcement/strategies/predictive-policing/Pages/welcome.aspx
- Ribaux, O., Baylon, A., Roux, C., Delémont, O., Lock, E., Zingg, C., & Margot, P. (2010). Intelligence-led crime scene processing. Part I: Forensic intelligence. Forensic Science International, 195(1–3), 10–16. doi: 10.1016/j.forsciint.2009.10.027
- Ribaux, O., Roux, C., & Crispino, F. (2016). Expressing the value of forensic science in policing. Australian Journal of Forensic Sciences, 49, 1–13.
- Ribaux, O., Walsh, S. J., & Margot, P. (2006). The contribution of forensic science to crime analysis and investigation: Forensic intelligence. Forensic Science International, 156(2–3), 171–181. doi: 10.1016/j.forsciint.2004.12.028
- Ripley, B. (2017). ODBC connectivity. Retrieved from https://cran.r-project.org/web/packages/RODBC/vignettes/RODBC.pdf
- Ripley, B., & Lapsley, M. (2017). Package 'RODBC’. Retrieved from https://cran.r-project.org/web/packages/RODBC/RODBC.pdf
- Robertson, B. (1990). John Henry Wigmore and Arthur Allan Thomas: An Example of Wigmorian Analysis. Victoria U. Wellington L. Rev. 20, 181.
- Rossy, Q., Ioset, S., Dessimoz, D., & Ribaux, O. (2013). Integrating forensic information in a crime intelligence database. Forensic Science International, 230(1), 137–146. doi: 10.1016/j.forsciint.2012.10.010
- Rossy, Q., & Ribaux, O. (2014). A collaborative approach for incorporating forensic case data into crime investigation using criminal intelligence analysis and visualisation. Science & Justice, 54(2), 146–153. doi: 10.1016/j.scijus.2013.09.004
- The R Project for Statistical Computing. (2018). The R project. Retrieved from https://www.r-project.org/
- RStudio Team. (2018). RStudio: Integrated Development for R. Retrieved from https://www.rstudio.com/
- Sheptycki, J. (2004). Organizational pathologies in police intelligence systems: Some contributions to the lexicon of intelligence-led policing. European Journal of Criminology, 1(2), 307–332. doi: 10.1177/1477370804044005
- Sklansky, D. (2011). The persistent pull of police professionalism. Retrieved from https://www.ncjrs.gov/pdffiles1/nij/232676.pdf
- Williams, R. (2008). Policing and forensic science. In T. Newburn (Ed.), Handbook of policing (2nd ed, pp. 760–793). London: Willan.