example_input_crime_raw: Example input crime data

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

Example input crime data

Description

A dataset containing an example input crime (a burglary), in raw form. It includes the minimum information needed for the function fn_prepare_input_crime() to operate. This example is fictional; the location, time, case id, and location type are made up, but are typical of the crimes in the data used in Curtis-Ham et al (2022) to calibrate and test GP-SMART.

Usage

data(example_input_crime_raw)

Format

A data frame of 1 row and 9 columns:

case_id

A unique reference number for the input crime. Can be a character or numeric vector.

offence_type

The type of input crime. A factor with levels "burglary", "robbery" or "sex", being the crimes GP-SMART is calibrated for use with.

x

Easting coordinate. Must be in metres to enable distance calculations.

y

Northing coordinate. Must be in metres to enable distance calculations.

start_date

Start date of the crime. A date in format "YYYY-MM-DD".

end_date

End date of the crime, if the exact date is not known. A date in format "YYYY-MM-DD".

start_time

Start time of the crime. A difftime in format "HH:MM:SS".

end_time

End time of the crime, if the exact time is not known. A difftime in format "HH:MM:SS".

location_type

The type of location in which the crime was committed. A factor with levels "residential", "commercial", "public", "street" or "unknown".

Source

Based on crime data provided by New Zealand Police

References

Curtis-Ham S., Bernasco, W., Medvedev, O. N., & Polaschek, D. L. L (2022). 'A new geographic profiling method for mapping and ranking suspects in crime investigations: GP-SMART'. Journal of Investigative Psychology and Offender Profiling. https://doi.org/10.1002/jip.1585

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