Crate wbspatialstats 

wbspatialstats: Unified spatial statistics library

Provides kriging, variography, spatial autocorrelation, spatial regression, and point-process tools for interpolation, analysis, and modeling of spatially correlated data.

Modules

• variogram: Empirical and modeled semivariograms (geostatistics)
• kriging: Ordinary, Local, Simple, Universal, and Spatio-Temporal Kriging predictions
• cv: Cross-validation diagnostics and metrics
• weights: Spatial weights matrices and neighborhood construction (shared by Phase A & C)
• autocorrelation: Global and local spatial autocorrelation measures (Phase A)
• regression: Spatial lag, error, and geographically weighted regression (Phase C)
• density_estimation: Kernel density estimation for inhomogeneous process modeling (Phase D)
• point_process: Ripley’s K/L, envelope testing, and point-pattern analysis (Phase D)

Re-exports

pub use kriging::OrdinaryKriging;

pub use kriging::LocalOrdinaryKriging;

pub use kriging::SimpleKriging;

pub use kriging::UniversalKriging;

pub use kriging::SpaceTimeKriging;

pub use kriging::KrigingResult;

pub use variogram::VariogramModel;

pub use variogram::VariogramModelFamily;

pub use variogram::VariogramFitter;

pub use variogram::RobustVariogramFitter;

pub use variogram::RobustLossFunction;

pub use weights::SpatialWeightsGraph;

pub use weights::SpatialWeightsMode;

pub use weights::IslandPolicy;

pub use weights::SpatialWeightsDiagnostics;

Modules

autocorrelation

cv

Cross-validation diagnostics for kriging

density_estimation

Kernel density estimation (KDE) for point patterns

kriging

Ordinary Kriging solver and predictor

point_process

Point-process analysis: Ripley’s K/L functions, envelope testing, and diagnostics

regression

variogram

Variogram estimation and model fitting

weights

Enums

GeostatError

Geostatistics library error type

Type Aliases

GeostatResult