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weights\n  - Rook weights\n\n- **Distance Weights**\n  - Minimum distance threshold\n  - K-Nearest neighbors\n  - Distance-based weights\n\n- **Kernel Weights**\n  - Kernel weights\n  - Kernel K-Nearest neighbors weights\n\n### Spatial Operations\n- **Geometric Operations**\n  - Centroid calculation\n  - Buffer creation\n  - Convex hull\n  - Spatial dissolve\n  - Spatial join\n\n- **Other Operations**\n  - Thiessen polygons\n\n## Installation\n\n```bash\nyarn add @geoda/core\n```\n\n## Usage Examples\n\n### Quantile Breaks Classification\n\n```typescript\nimport { quantileBreaks } from '@geoda/core';\n\n// Create classes with equal number of observations\nconst data = [1, 2, 3, 4, 5, 6, 7, 8, 9];\nconst k = 3; // number of classes\nconst breaks = await quantileBreaks(k, data);\n// breaks = [3.5, 6.5]\n```\n\n## API Documentation\n\nFor detailed API documentation, please visit our [documentation site](https://geoda-lib.github.io/geoda-lib/).\n\n## License\n\nMIT 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