This book introduces the programming language R and is meant for undergrads or graduate students studying criminology. R is a programming language that is well-suited to the type of work frequently done in criminology - taking messy data and turning it into useful information. While R is a useful tool for many fields of study, this book focuses …

Notes for learning and applying R to questions about crime and the justice system

Official Russian city-level homicide data for 2013-2014, predicted homicide for 2020, and safety rating of cities.

Seminar Research Class at UTD for PhD students in Criminology

An R package to run Spatial Point Pattern Tests

Genetic algorithm to create association rules for relative risk

NearRepeat

🚨 👮 🕵️‍♂️ A simple project based in Data Science and Data Analysis for Criminology and Forensics worldwide. This project was built using Jupyter Notebook and Python, with the support of some libraries for Data Science and Data Visualisation, like NumPy, Matplotlib and Pandas. This project shows an intensive and detailed study case about some ind…

R package with helper functions for Poisson data

This is a comprehensive guide to using the FBI's Uniform Crime (UCR) Reporting Program Data, a collection of crime and arrest datasets which are often referred to as UCR data.

More materials for this project at the OSF site: https://osf.io/qvcdg/

Data for `Cost of Crime in Russia: compensating variation approach' paper

Profesor Asistente, UNAP (CL)

A Shiny application that lets you create and customize graphs and tables from Swedish crime data (1973-2017)

This repository contains the Supplementary Materials as well as the datasets and code used in the article ‘The Drop in Worry about Crime and Its Gender Gap: Trends in England and Wales from 1998 to 2019/2020’.

An essay written by me that analyzes the Soviet farming collectivization policy through a criminological lens and argues that the policy is an example of state crime.

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