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Feel-The-AGI/geoghana

Domain:

geospatial

Record type:

software
Creator:
Fee
Host:
GeoGhana is an open-source Python library for streamlined access and manipulation of Ghana's district geospatial data. Offering tools for reading, visualizing, and performing spatial operations on district-level geomaps, it aims to support developers and researchers working with Ghana's geospatial datasets. # GeoGhana: Geospatial Tools for Ghana's Districts GeoGhana is an open-source Python library designed to simplify working with geospatial data of Ghana's districts, including their latest geomap updates. It aims to provide engineers, researchers, and developers with easy-to-use tools for reading, manipulating, and visualizing geospatial data specific to Ghana's administrative boundaries. ## Features In Development - **Read and Write Geospatial Data**: Supports Shapefile (.shp, .dbf, .shx) and TopoJSON (.json) formats. - **Spatial Operations**: Perform intersect, union, buffer, and merge operations effortlessly. - **CRS Management**: Convert and manage different Coordinate Reference Systems. - **Data Visualization**: Plot and visualize geospatial data with ease. - **Data Manipulation**: Efficiently filter, sort, and manipulate geospatial datasets. - **Performance Optimization**: Optimized for handling large geospatial datasets. - **Python Data Stack Integration**: Works seamlessly with pandas, numpy, matplotlib, and more. - **Utility Functions**: Includes utilities for area, distance, and perimeter calculations. - **Comprehensive Documentation**: Well-documented code with examples to get you started. ## Getting Started ### Prerequisites Ensure you have Python 3.11.x installed on your system. GeoGhana depends on GeoPandas, Fiona, and other geospatial libraries, which will be installed during the installation process. ### Installation Install GeoGhana using pip: ```bash pip install geoghana ``` ### Quick Example ```python from geoghana import load_shapefile, plot_districts # Load Ghana's districts shapefile gdf = load_shapefile("path/to/District_271.shp") # Plot the districts plot_districts(gdf) ``` ## Contributing We welcome contributions from the community, whether it's adding new features, improving documentation, or reporting bugs. Please see CONTRIBUTING.md for more details on how to contribute to this project. \ I'm just someone in a nuclear bunker …