Struct SpatialWeights 

pub struct SpatialWeights {
    pub weights: Array2<f64>,
    pub row_standardized: bool,
}

Spatial weights matrix

Represents spatial relationships between observations

Fields

weights: Array2<f64>

Weights matrix (n × n)

row_standardized: bool

Whether weights are row-standardized

Implementations

impl SpatialWeights

pub fn from_adjacency(adjacency: Array2<f64>) -> Result<Self>

Create spatial weights from adjacency matrix

Arguments

• adjacency - Binary adjacency matrix (1 if neighbors, 0 otherwise)

Errors

Returns error if matrix is not square

pub fn from_distance_threshold( distances: &ArrayView2<'_, f64>, threshold: f64, ) -> Result<Self>

Create spatial weights from distance matrix with threshold

Arguments

• distances - Distance matrix
• threshold - Maximum distance to be considered neighbors

Errors

Returns error if matrix is not square

pub fn from_inverse_distance( distances: &ArrayView2<'_, f64>, power: f64, ) -> Result<Self>

Create spatial weights using inverse distance

Arguments

• distances - Distance matrix
• power - Power parameter for inverse distance (typically 1 or 2)

Errors

Returns error if matrix is not square or contains zero distances

pub fn row_standardize(&mut self)

Row-standardize the weights matrix

Each row sums to 1.0 (or 0.0 if the row was all zeros)

pub fn n_neighbors(&self) -> Array1<usize>

Get number of neighbors for each observation

pub fn spatial_lag(&self, values: &ArrayView1<'_, f64>) -> Result<Array1<f64>>

Calculate spatial lag (weighted average of neighbors)

Arguments

• values - Values for each observation

Errors

Returns error if dimension mismatch

Trait Implementations

impl Clone for SpatialWeights

fn clone(&self) -> SpatialWeights

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SpatialWeights

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.