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DermotMcMillan/RPr-CT-crime

Title of Study

Replication of Meng 2021 Crime rates and contextual characteristics: A case study in Connecticut, USA

Contributors

  • Dermot McMillan*, [email protected], @DermotMcMillan, github.com/DermotMcMillan, Middlebury College
  • Gus Howard*, [email protected], @gushoward, github.com/gushoward, Middlebury College

Abstract

The original paper aims to understand the relationship between contextual characteristics and violent and property crime statistics. The study analyzes ACS and UCR data using various spatial and statistical models. This study is a replication of:

Meng, Yunliang. 2021. Crime rates and contextual characteristics: A case study in connecticut, USA. Human Geographies 15, (2) (11): 209-228, https://www.proquest.com/scholarly-journals/crime-rates-contextual-characteristics-case-study/docview/2638089143/se-2 (accessed April 6, 2025).

Study Metadata

  • Key words: Connecticut, crime, inequality, contextual characteristis
  • Subject: Social and Behavioral Sciences: Geography: Human Geography
  • Date created: 04/06/2024
  • Date modified: "r Sys.Date()"
  • Spatial Coverage: Connecticut, USA
  • Spatial Resolution: County Subdivisions
  • Spatial Reference System: EPSG: 2234
  • Temporal Coverage: 2013 - 2017
  • Temporal Resolution: 1 year

Related to

  • OSF Project:
  • Pre-analysis Registration:
  • Post-analysis Report Registration:
  • Preprint:
  • Conference Presentation:
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  • Prior Study:
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Metadata for access

  • Rights: LICENSE: BSD 3-Clause "New" or "Revised"
  • Resource type: Collection
  • Resource language: English
  • Conforms to: Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences version 1.0, DOI:10.17605/OSF.IO/W29MQ

Compendium structure and contents

This research compendium is structured with four main directories:

  • data: contains subdirectories for raw data and derived data.
  • docs: contains subdirectories for manuscript, presentation, and report
  • procedure: contains subdirectories for code or software scripts, information about the computational environment in which the research was conducted, and non-code research protocols
  • results: contains subdirectories for figures, formatted data tables, or other formats of research results.

The data, procedures, and results of this repository are outlined in three tables:

Important local documents include:

Compendium reference

The template_readme.md file contains more information on the design of this template and references used in the design. The Template_LICENSE file provides the BSD 3-Clause license for using this template. To cite the template, please use template_reference.bib or:

Kedron, P., & Holler, J. (2023). Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences. https://doi.org/10.17605/OSF.IO/W29MQ

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