MakenaPrissy/CHU-Periurbanization-Analysis

Reproducible code for analyzing periurbanization trajectories of community health units in Kenya using multiple urbanization proxies. # Classifying Peri-Urban Transition at Community Health Unit Level Using Multiple Geospatial Proxies in Coastal Kenya This repository contains the full reproducible analysis code for: > Makena P, Oluoch F, Ondiek RI, Gudda F, Keter A, Das J, Bhutta Z, Ngugi A. > *Classifying peri-urban transition at Community Health Unit level using multiple geospatial proxies in coastal Kenya.* --- ## Study Overview We conducted a longitudinal ecological analysis across **10 Community Health Units (CHUs)** in Kilifi County, Kenya (Kaloleni-Rabai Health and Demographic Surveillance System, KRHDSS), with annual observations from **2017 to 2024**. Five publicly available geospatial proxy indicators were summarized within CHU boundaries: - **VIIRS nighttime lights** – mean annual radiance - **Sentinel 2 built-up area** – % of CHU area classified as built-up - **WorldPop built-up area** – % of CHU area classified as built-up - **WorldPop population density** – mean persons per km² - **Degree of Urbanisation (GHS-SMOD)** – % of CHU area classified as urban Key analyses: 1. Baseline and endline summary statistics (2017 vs 2024) 2. Year-to-year and cumulative percent change 3. Pearson correlations between proxy pairs 4. K-means consensus classification (peri-urban vs rural) --- ## Repository Structure ``` . ├── data/ │ ├── raw/ │ └── interim/ ├── results/ │ ├── figures/ │ └── tables/ ├── src/ │ ├── 01_build_panel.py │ ├── 02_descriptive_tables.py │ ├── 03_change_metrics.py │ ├── 04_correlations.py │ ├── 05_clustering_consensus.py │ └── 06_make_figures.py ├── run_all.py ├── requirements.txt ├── environment.yml └── LICENSE ``` --- ## Data Proxy values were extracted in **QGIS 3.28.3** using zonal statistics on CHU boundary polygons and exported as CSV files. Place these in `data/raw/`: | File | Source | Description | |------|--------|-------------| | `viirs_nighttime_lights.csv` | VIIRS/NPP | Mean annual radiance per CHU | | `sentinel2_builtup.csv` | ESA …