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rgeoprofile
View on CRAN: Click
here
Download and install rgeoprofile package within the R console
Install from CRAN:
install.packages("rgeoprofile")
Install from Github:
library("remotes")
install_github("cran/rgeoprofile")
Install by package version:
library("remotes")
install_version("rgeoprofile", "0.2.2")
Attach the package and use:
library("rgeoprofile")
Maintained by
Jamie Spaulding
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-25
Latest Update: 2024-02-10
Description:
An implementation of functions for the analysis of serial crime
incidents. The package implements algorithms for the geographical profiling
of serial incidents in attempt to prioritize the area in which the anchor
point or home base of the perpetrator is located. The geographic profiling
methods in the package are implemented based upon the 'Dragnet' software
by Canter, Coffey, Huntley, and Missen (2000) ,
the 'CrimeStat' software by Levine (2013)
,
and the criminal geographic targeting model outlined in Rossmo (2000, ISBN:978-0849381294)
and Rossmo (1995) .
How to cite:
Jamie Spaulding (2019). rgeoprofile: Geographic Profiling Methods for Serial Crime Analysis. R package version 0.2.2, https://cran.r-project.org/web/packages/rgeoprofile. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Other R packages that rgeoprofile depends,
imports, suggests or enhances
Functions, R codes and Examples using
the rgeoprofile R package
Some associated functions: cgt_profile . circle_center . cmd_pred . desalvo . geom_mean_pred . harm_mean_pred . linear_profile . lognorm_profile . neg_exp_profile . norm_profile . trun_neg_exp_profile .
Some associated R codes: cgt_profile.R . circle_center.R . cmd_pred.R . desalvo.R . geom_mean_pred.R . harm_mean_pred.R . linear_profile.R . lognorm_profile.R . neg_exp_profile.R . norm_profile.R . trun_neg_exp_profile.R . Full rgeoprofile package functions and examples
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