Skip to contents

calculate power of spatial determinant(PSD) and the corresponding pseudo-p value

Source: R/psd_pseudop.R
psd_pseudop.Rd

Function for calculate power of spatial determinant \(q_s\).

Usage

psd_pseudop(y, x, wt, cores = 1, seed = 123456789, permutations = 0)

Arguments

y

Variable Y, continuous numeric vector.

x

Covariable X, factor, character or discrete numeric.

wt

The spatial weight matrix.

cores

(optional) A positive integer(default is 1). If cores > 1, use parallel computation.

seed

(optional) Random seed number, default is 123456789.

permutations

(optional) The number of permutations for the PSD computation. Default is 0, which means no pseudo-p values are calculated.

Value

A tibble of power of spatial determinant and the corresponding pseudo-p value.

Details

The power of spatial determinant formula is \(q_s = 1 - \frac{\sum_{h=1}^L N_h \Gamma_h}{N \Gamma}\)

References

Xuezhi Cang & Wei Luo (2018) Spatial association detector (SPADE),International Journal of Geographical Information Science, 32:10, 2055-2075, DOI: 10.1080/13658816.2018.1476693

Author

Wenbo Lv lyu.geosocial@gmail.com

Examples

data('sim')
wt = inverse_distance_weight(sim$lo,sim$la,power = 2)
psd_pseudop(sim$y,st_unidisc(sim$xa,5),wt)
#> # A tibble: 1 × 2
#>   `Q-statistic` `P-value`        
#>           <dbl> <chr>            
#> 1         0.374 No Pseudo-P Value