oxigdal-analytics 0.1.0

Advanced geospatial analytics for OxiGDAL - Time series, clustering, hotspot analysis, and interpolation
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# 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

```rust
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