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---
title: "About"
---
SkinSim is a statistical modeling project focused on human skin reflectance spectra by Junhui He, Jian Kang, and Tina Lasisi.
## Data foundation
- Real data: ISSA (International Skin Spectra Archive).
- Simulated data: biophysical skin models and Monte Carlo-based spectra.
## Workflow
This website follows a reproducible, analysis-first workflow:
- analysis/: qmd files for analysis reports.
- notebooks/: ipynb files for data processing, modeling, and visualization.
- code/: reusable scripts and modeling utilities.
- data/: source and intermediate datasets.
- docs/: project documentation and references.
## Methods in this project
- Descriptive statistics to summarize the reflectance data.
- Reflectance spectrum filter to classify realistic skin reflectance spectra from synthetic ones.
- Shape analysis to explore the relationship between skin properties and reflectance shapes.
- Bayesian varying coefficient models to investigate the effects of skin parameters on skin reflectance.
## Reproducibility
The project is built with Quarto and supports both R and Python so analyses can be rendered and shared consistently as a versioned website.