Replication of Meng 2021 Crime rates and contextual characteristics: A case study in Connecticut, USA
- Dermot McMillan*, [email protected], @DermotMcMillan, github.com/DermotMcMillan, Middlebury College
- Gus Howard*, [email protected], @gushoward, github.com/gushoward, Middlebury College
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).
Key words: Connecticut, crime, inequality, contextual characteristisSubject: Social and Behavioral Sciences: Geography: Human GeographyDate created: 04/06/2024Date modified: "r Sys.Date()"Spatial Coverage: Connecticut, USASpatial Resolution: County SubdivisionsSpatial Reference System: EPSG: 2234Temporal Coverage: 2013 - 2017Temporal Resolution: 1 year
OSF Project:Pre-analysis Registration:Post-analysis Report Registration:Preprint:Conference Presentation:Publication:Prior Study:...:
Rights: LICENSE: BSD 3-Clause "New" or "Revised"Resource type: CollectionResource language: EnglishConforms to: Template for Reproducible and Replicable Research in Human-Environment and Geographical Sciences version 1.0, DOI:10.17605/OSF.IO/W29MQ
This research compendium is structured with four main directories:
data: contains subdirectories forrawdata andderiveddata.docs: contains subdirectories formanuscript,presentation, andreportprocedure: contains subdirectories forcodeor software scripts, information about the computationalenvironmentin which the research was conducted, and non-code researchprotocolsresults: contains subdirectories forfigures, formatted datatables, orotherformats of research results.
The data, procedures, and results of this repository are outlined in three tables:
- Data: data/data_index.csv
- Procedures: procedure/procedure_index.csv
- Results: results/results_index.csv
Important local documents include:
- Pre-analysis plan: docs/report/preanalysis.pdf
- Study report: docs/report/report.pdf
- Manuscript: docs/manuscript/manuscript.pdf
- Presentation: docs/presentation/presentation.pdf
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