GPSDataProcessing

A collection of R scripts for processing and analyzing GPS data, including data cleaning, spatial analysis, and exploratory visualizations. This repository showcases workflows for handling geospatial datasets, suitable for environmental or ecological studies.

Overview

This repository contains sanitized R scripts designed to demonstrate a complete workflow for working with GPS data. The scripts cover:

• Data Cleaning: Preprocessing and structuring GPS datasets.
• Spatial Analysis: Integrating and analyzing spatial attributes (e.g., altitude, slope, land cover).
• Exploratory Data Analysis (EDA): Generating visualizations to explore patterns and trends.

These scripts are intended as a portfolio piece to highlight data science and geospatial analysis skills.

Scripts

• clean_I.R: Initial data cleaning and filtering of GPS observations.
• clean_II.R: Calculation of grazing seasons and pasture days with spatial integration.
• clean_III.R: Incorporation of landscape variables (e.g., altitude, slope) into GPS data.
• eda.R: Exploratory data analysis with visualizations (e.g., bar plots, boxplots, heatmaps).

Requirements

• R environment (version 4.0 or higher recommended).
• Required R packages (install via install.packages()):
  • sf
  • terra
  • tidyr
  • dplyr
  • tidyterra
  • stringr
  • tibble
  • openxlsx
  • lubridate
  • scales
  • ggplot2
  • tidyverse

Usage

1. Clone the repository:

   git clone <repository-url>
   cd GPSDataProcessing
   

License

This project is licensed under the MIT License.