Spatiotemporal datasets consists of both space and time dimensions and represent many real world applications such as medical imaging data, video data, weather patterns and so on. The aim of this assignment is to familiarize ourselves with dataset generation by time samples and pixel values, its preprocessing by statistical measures, its analysis by parameter estimation, its results visualization by graphs, and its evaluation by performance metrics.
- Language: R 4.1.0
- Packages/Libraries: ggplot2, R.matlab, reshape2, pracma, plot.matrix, MASS, corrplot, cowplot, Rfast, factoextra
Code: Contains all R codes for Assignment 1Deprecated: Contains old code that I no longer usePlots: Contains all the plots of Assignment 1