RGeospatial

🌍 Dive into the realm of geospatial analysis with RGeospatial, a comprehensive suite of R scripts and datasets designed for the modern data explorer. Our project is dedicated to equipping you with the tools and examples you need to master geographic data within R.
✨ Whether it’s through stunning spatial visualizations, intricate data manipulation, or advanced geospatial modeling, RGeospatial is your gateway to unlocking the stories hidden within coordinates and maps.

Description

RGeospatial is a collection of R scripts and datasets for geospatial analysis. This project aims to provide tools and examples for working with geographic data in R, including spatial visualization, data manipulation, and geospatial modeling.

Usage

After installing the necessary packages, you can run the scripts provided in the repository to analyze geospatial data. Each script contains comments explaining the steps taken and the methods used.

Contributing

Contributions to RGeospatial are welcome! If you have suggestions for improvements or new features, feel free to fork the repository, make changes, and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Thanks to all the contributors who have helped shape RGeospatial.
Special thanks to the R community for providing excellent packages and resources.

Contact

For any questions or concerns, please open an issue in the repository or contact me directly at aradfarahani@aol.com.

Installation

To use RGeospatial, you’ll need to have R installed on your machine. Once R is installed, you can clone this repository and install the required packages.

# Clone the repository
git clone https://github.com/aradfarahani/RGeospatial.git

# Navigate to the RGeospatial directory
cd RGeospatial

# Install required R packages
install.packages(c("sp", "rgdal", "rgeos", "ggplot2"))