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.
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.
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.
This project is licensed under the MIT License - see the LICENSE.md file for details.
Thanks to all the contributors who have helped shape RGeospatial. Special thanks to the R community for providing excellent packages and resources.
For any questions or concerns, please open an issue in the repository or contact me directly at mahdifarmahinifarahani@aol.com.
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"))