This repo provides the scripts, data, paper, and sketches to understand the relationship between garden size and factors like year funded, neighborhood type, ward, being indigenous-status, and garden_type.
The repo is structured as:
data/00-simulated_data contains the simulated dataset that was constructed.data/01-raw_data contains the raw data as obtained from Open Data Toronto.data/02-analysis_data contains the cleaned dataset that was constructed.models contains a fitted model. other contains relevant details about LLM chat interactions and sketches.paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper. scripts contains the R scripts used to simulate, download, clean, test, explore and model data.Many aspects of this paper along with the scripts were written with the help of ChatGPT 4.0. The title, abstract, introduction, data, model, results, discussion, weaknesses and limitations and appendix were written with the help of ChatGPT 4.0. The entire chat history is available in other/llm_usage/usage.txt.