Per-Capita Wind Capacity by Country

This repository contains the code, datasets, and outputs for visualizing per-capita wind energy capacity by country.

Project Structure

Description

This project visualizes the per-capita wind energy capacity (in kW per person) globally, based on population and wind energy capacity data. The project uses R to calculate and map global wind capacity trends, allowing for insightful comparisons between countries.

Data

1. Population Data (POP.csv):

   • Contains:
     • ISO3 country codes.
     • Country names.
     • Population data in thousands.
   • Used to calculate actual population values.

2. Wind Energy Data (Data_windenergy.xlsx):

   • Contains:
     • Country names.
     • Wind energy capacity in megawatts (MW).
   • Used to calculate total and per-capita wind capacity.

Output

The project generates two maps:

1. Map_plot_with_customised_dataset.png:

   • Based on real datasets (POP.csv and Data_windenergy.xlsx).
   • Visualizes per-capita wind capacity globally.

2. Versatile_map_plot.png:

   • Created with example data in Versatile_map.R.
   • Demonstrates the flexibility of the mapping script.

Usage

Prerequisites

To run this project, you will need:

1. R (≥ 4.0.0)
2. The following R libraries:
   • readxl: For reading Excel files.
   • dplyr: For data manipulation.
   • ggplot2: For visualization.
   • sf: For spatial data handling.
   • rnaturalearth: For world map data.

Install these libraries in R using:

install.packages(c("readxl", "dplyr", "ggplot2", "sf", "rnaturalearth"))

### Steps to Run
1. Clone the repository: git clone https://github.com/Deepikag8/R_Map_Project.git
# R_Map_Project