@geoda/core

Features

Mapping

• Basic Mapping

  • Quantile maps
  • Natural breaks (Jenks)
  • Equal intervals
  • Percentile maps
  • Box plots (hinge = 1.5 and 3.0)
  • Standard deviation maps

• Rate Mapping

  • Excess risk
  • Empirical Bayes
  • Spatial rate
  • Spatial empirical Bayes

• Cartogram

Data Exploration

• Standardization (Z)
• Standardization (MAD: Median Absolute Deviation)
• Range adjustment
• Range standardization
• PCA (Principal Component Analysis)
• Diff-in-Diff analysis
• Spatial lagged variables

Spatial Weights

• Contiguity Weights

  • Queen weights
  • Rook weights

• Distance Weights

  • Minimum distance threshold
  • K-Nearest neighbors
  • Distance-based weights

• Kernel Weights

  • Kernel weights
  • Kernel K-Nearest neighbors weights

Spatial Operations

• Geometric Operations

  • Centroid calculation
  • Buffer creation
  • Convex hull
  • Spatial dissolve
  • Spatial join

• Other Operations

  • Thiessen polygons

Installation

yarn add @geoda/core

Usage Examples

Quantile Breaks Classification

import { quantileBreaks } from '@geoda/core';

// Create classes with equal number of observations
const data = [1, 2, 3, 4, 5, 6, 7, 8, 9];
const k = 3; // number of classes
const breaks = await quantileBreaks(k, data);
// breaks = [3.5, 6.5]

API Documentation

For detailed API documentation, please visit our documentation site.

License

MIT License