📍 Spatial Data and Mapping Exam

Author: Anahí Reyes Miguel
Email: anahi.reyes-miguel@polytechnique.edu
Date: March 2025

📝 Overview

This project analyzes spatial data from San Francisco using R. It focuses on visualizing and combining data related to:

• Neighborhood boundaries
• Cultural districts
• Demographic indicators
• Business types

The goal is to explore spatial relationships and trends using geographic data and geovisualization tools.

📁 Folder Structure

📁 Folder Structure

Path	Description
.Rhistory	R session history (optional)
.Rproj.user/	R project metadata
.git/	Git version control directory
.gitignore	Specifies intentionally untracked files to ignore
LICENSE	Project license
README.md	Project overview and usage instructions
Spatial data and mapping.Rmd	Main analysis script (R Markdown)
Spatial data and mapping.Rproj	R project configuration file
Spatial-data-and-mapping.pdf	Rendered PDF output from R Markdown
data/	Raw data folder
├── cultural_district.geojson	Cultural districts shapefile
├── sfnh.geojson	Neighborhood boundaries
└── sfnh_dem.csv	Demographic data by neighborhood
processed-data/	Processed and cleaned data
└── sfbiz_by_type.csv	Business distribution by type
output/	Visualizations and mapping results
├── class_map.png	Map showing business class clusters
├── combined_plot.png	Combined visualization of selected variables
├── map_racial_typology.png	Map showing racial typology by neighborhood
└── prop_map.png	Map showing proportion of selected demographic

📦 Dependencies

This project uses the following R packages:

• sf
• ggplot2
• dplyr
• here
• tibble
• tidyr
• knitr

You can install them with:

install.packages(c("sf", "ggplot2", "dplyr", "here", "tibble", "tidyr", "knitr"))

🚀 How to Run
	1.	Clone the repository and open the project in RStudio.
	2.	Open Spatial data and mapping.Rmd.
	3.	Knit to PDF or run each chunk interactively.
	4.	Make sure all datasets are stored in a folder called /data.

🧠 Notes
	•	The script uses here::here() to manage file paths.
	•	To knit to PDF, you will need a LaTeX distribution such as TinyTeX.
	•	All maps and visualizations are generated using ggplot2 and sf.

📬 Contact

If you have any questions, feel free to contact me at:
📧 anahi.reyes-miguel@polytechnique.edu