- Maintainer: Timothy Fraser, PhD @ Cornell University
- Contributors: OliviaFeeley, AJ Ridge Ava Cervini, Vincent Rago, Kelly gilmore, Gianna Worthington, Ilana Berliavsky
Welcome to the Github repository for our study, entitled "How far I’ll go: Social infrastructure accessibility and proximity in urban neighborhoods", published in Landscape and Urban Planning (2023). This repository contains all code, scripts, and datasets necessary for replicating this study. We hope that this repository can help support further study of social infrastructure.
See below for a brief outline of key code files for replicating this study. (Note: While early versions of the code are documented in the code.Rmd and code.html files, please ignore these - these are deprecated. Our final replication files are listed in order, always starting with a number (eg. 00_dataverse_download.R, 01_descriptives.R, etc.).) These are listed below in order.
00_dataverse_download.R: code to download large files from the Harvard Dataverse.00_keys_template.R: examplekeysfile of environmental variables you will need to make in order to run various code in this project.00_packages.R: script to install pacakges.01_descriptives.R: descriptive statistical analysis of datasets.02_data.R: script to generate key data files used in figures.03_figure_1.R: replication code for paper Figure 1.03_figure_2.R: replication code for paper Figure 2.03_figure_3_to_5.R: replication code for paper Figures 3-5.03_figure_6.R: replication code for paper Figure 6.03_figure_A1.R: replication code for paper Figure A1.03_figure_A2.R: replication code for paper Figure A2.03_figure_A3.R: replication code for paper Figure A3.03_figure_A4.R: replication code for paper Figure A4.
Data used/generated for this study are stored in the following folders:
/raw_data: folder for containing all raw data./viz: folder for containing all visuals./count: folder for containing spatial counts. (Old)/dist: folder for containing spatial distances. (Old)
- See our manuscript at: LINK TBD
- See our supplementary information appendix at https://doi.org/10.1016/j.landurbplan.2023.104922.