gpsmartr-package: gpsmartr: Geographic Profiling - Suspect Mapping And Ranking...

In Sophie-c-h/gpsmartr: Geographic Profiling - Suspect Mapping And Ranking Technique (GP-SMART) in R

gpsmartr: Geographic Profiling - Suspect Mapping And Ranking Technique (GP-SMART) in R

Description

Maps input suspect activity locations (nodes) and ranks suspects for an input crime.

Details

gpsmartr.private is a collection of functions to support geographic profiling in crime investigations. It operationalises GP-SMART (Geographic Profiling: Suspect Mapping and Ranking Technique), the method described in Curtis-Ham et al (under review) to map and rank suspects for an input crime, based on the location and attributes of the suspects' activity locations (nodes). The functions require the user to have a) an input crime and b) a dataset of suspect activity nodes. These files need to include specific variables describing the location, time and other attributes of both the input crime and suspect activity nodes. Examples of both files are provided as package data. The package includes the following functions, to be run in order:

• fn_prepare_input_crime() checks that the minimum necessary variables are present in the user's input crime file and creates the input_crime data frame for use in fn_gpsmart().

• fn_prepare_suspect_data() checks that the minimum necessary variables are present in the user's suspect activity nodes file and creates the input_suspects data frame for use in fn_gpsmart().

• fn_gpsmart() filters and ranks input_suspects based on their probability of committing the input_crime.

• fn_map_gpsmart_output() creates an interactive map visualising the output of fn_gpsmart().

Author(s)

Maintainer: Sophie Curtis-Ham [e-mail] (ORCID)

References

Curtis-Ham S., Bernasco, W., Medvedev, O. N., & Polaschek, D. L. L (under review). 'A new geographic profiling method for mapping and ranking suspects in crime investigations: GP-SMART'.

See Also

Useful links:

• https://github.com/Sophie-c-h/gpsmartr

• Report bugs at https://github.com/Sophie-c-h/gpsmartr/issues

Sophie-c-h/gpsmartr documentation built on April 13, 2022, 5:51 p.m.