pub fn variogram_unstructured(
f: ArrayView2<'_, f64>,
bin_edges: ArrayView1<'_, f64>,
pos: ArrayView2<'_, f64>,
estimator_type: char,
distance_type: char,
num_threads: Option<usize>,
) -> (Array1<f64>, Array1<u64>)
Expand description
Variogram estimation on an unstructured grid.
Calculates the empirical variogram according to the equations shown in the module documentation.
§Arguments
f
- the spatially distributed data
dim = (no. of data fields, no. of spatial data points per field $i$)bin_edges
- the bins of the variogram
dim = number of bins jpos
- the positions of the dataf
dim = (spatial dim. $d$, no. of spatial data points $i$)estimator_type
- the estimator function, can be- ‘m’ - Matheron, the standard method of moments by Matheron
- ‘c’ - Cressie, an estimator more robust to outliers
distance_type
- the distance function, can be- ‘e’ - Euclidean, the Euclidean distance
- ‘h’ - Haversine, the great-circle distance
num_threads
- the number of parallel threads used, if None, use rayon’s default