Extracting Philippine voting patterns through hyperspectral unmixing

This repository contains all the codes and some data I used for my undergraduate thesis on Philippine Senate election patterns from 2013-2019 using Hyperspectral Unmixing. The following is a short decription of what each folder contains:

1. MATLAB

This folder contains the codes for MVSA, VCA, and SuNSAL provided in the paper:

J. Li, A. Agathos, D. Zaharie, J. M. Bioucas-Dias, A. Plaza, and X. Li. Minimum volume simplex analysis: A fast algorithm for linear hyperspectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, 53(9):5067-5082, Sep. 2015.

I used these codes to perform hyperspectral unmixing.

2. archetypes

This folder contains the codes to read, analyze, and plot the outputs from the MATLAB codes after hyperspectral unmixing. The Jupyter Notebooks in this folder also contain the codes I used to clean my datasets.

3. election_data

This folder contains some of the senate election data I used in my thesis. I wasn't able to include some because the file sizes were too big. They can be found in this link: http://elections.org.ph/.

4. kmeans_clustering

This folder contains all the code I used to perform K-mean Clustering on the election data.

5. province_shapefile

This folder contains the shapefiles I used to plot a Philippine map with provincial boundaries.

6. region_shapefile

This folder contains the shapefiles I used to plot a Philippine map with regional boundaries.

7. unmixing_results

This folder contains the output .csv files for archetypes and weights obtained after hyperspectral unmixing.

8. DE CASTRO, CMM 2.19-20_Extracting Philippine voting patterns through hyperspectral unmixing.pdf

This is my full submitted manuscript.