Geoterminal is a command-line tool designed to simplify common GIS tasks that you may encounter in your daily work.
Project description
Geoterminal
Geoterminal is a powerful Python library and command-line tool designed to streamline geospatial data processing and H3 grid operations. It provides an intuitive interface for common GIS operations, supporting multiple file formats and offering both a Python API and CLI for maximum flexibility.
Features
-
Flexible Input/Output
- Support for GeoJSON, Shapefile, CSV, ORC, and WKT formats
- Direct WKT string input for quick operations
- Automatic format detection and conversion
-
Geometry Operations
- Buffer creation with customizable distance
- Geometry clipping with file or WKT mask
- CRS transformation and validation
-
H3 Integration
- Convert geometries to H3 cells
- Configurable resolution (0-15)
- Optional geometry inclusion
- Efficient spatial indexing
-
Developer-Friendly
- Clean Python API
- Comprehensive CLI
- Extensive documentation
- Type hints and error handling
Quick Start
Installation
# Install from PyPI
pip install geoterminal
For development, we use Poetry. First install Poetry if you haven't already:
curl -sSL https://install.python-poetry.org | python3 -
Then clone and install the project:
# Clone the repository
git clone https://github.com/jeronimoluza/geoterminal.git
cd geoterminal
# Install dependencies and create virtual environment
poetry install
# Install with development dependencies
poetry install --with dev
# Install with documentation dependencies
poetry install --with docs
# Activate the virtual environment
poetry shell
Usage
Basic Usage
Geoterminal accepts both file paths and WKT strings as input:
# Convert between different formats
geoterminal input.shp output.geojson
geoterminal input.geojson output.csv
geoterminal input.csv output.orc
# Generate from WKT string
geoterminal "POLYGON((30 10, 40 40, 20 40, 10 20, 30 10))" output.geojson
# Work with CSV/ORC files using custom geometry columns
geoterminal input.csv output.geojson --geometry-column my_wkt_column
geoterminal input.orc output.shp --geometry-column my_wkt_column
Processing Options
You can combine multiple processing options:
# Apply a buffer and convert to H3 cells
geoterminal input.shp output.geojson --buffer-size 1000 --h3-res 6
# Convert WKT to H3 cells with geometries
geoterminal "POLYGON((30 10, 40 40, 20 40, 10 20, 30 10))" output.geojson --h3-res 6 --h3-geom
# Reproject data
geoterminal input.shp output.csv --input-crs 4326 --output-crs 3857
Additional Commands
# View first 10 rows of a file
geoterminal head -n 10 input.geojson
# View last 8 rows of a file
geoterminal tail -n 8 input.geojson
# Clip geometries using a mask file
geoterminal clip input.shp mask.geojson output.geojson
# Clip using WKT string as mask
geoterminal clip input.shp "POLYGON((0 0, 1 0, 1 1, 0 1, 0 0))" output.geojson
Python API
from geoterminal.geometry_operations import GeometryProcessor
from geoterminal.h3_operations import H3Processor
from geoterminal.file_io import read_geometry_file
# Read data
gdf = read_geometry_file("input.geojson")
# Geometry operations
processor = GeometryProcessor(gdf)
buffered = processor.apply_buffer(distance=1000)
# H3 operations
h3_processor = H3Processor(gdf)
h3_cells = h3_processor.polyfill(resolution=6)
# Export
h3_cells.to_file("output.geojson")
Documentation
Comprehensive documentation is available:
Contributing
Contributions are welcome! Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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