OxiGDAL Analytics

Advanced geospatial analytics for enterprise workflows.

Features

• Time Series Analysis: Trend detection, anomaly detection, seasonal decomposition
• Spatial Clustering: K-means and DBSCAN for image classification and outlier detection
• Hotspot Analysis: Getis-Ord Gi* and Moran's I spatial autocorrelation
• Change Detection: CVA, PCA, and multi-temporal analysis
• Interpolation: IDW and Kriging for spatial surface generation
• Advanced Zonal Statistics: Weighted and multi-band statistics

Usage

use oxigdal_analytics::*;

// Time series trend detection
let trend = detect_trend(&time_series, TrendMethod::MannKendall)?;

// Hotspot analysis
let hotspots = getis_ord_gi_star(&values, &neighbors, 0.05)?;

// Change detection
let changes = detect_changes(&before, &after, ChangeMethod::CVA)?;

COOLJAPAN Policy Compliance

• Pure Rust implementation (no C/Fortran dependencies)
• No unwrap() or expect() in production code
• Uses SciRS2-Core for scientific computing
• Comprehensive error handling