Multivariate Quantile LISA

Multivariate Quantile LISA (2019) is a type of local spatial autocorrelation that applies multivariate local join count statistics to quantiles of multiple continuous variables. For each continuous variable, it is converted to a binary variable that takes the value of 1 for a specific quantile. For more information, please read https://geodacenter.github.io/workbook/6d_local_discrete/lab6d.html#quantile-lisa

multiQuantileLisa()

function multiQuantileLisa(
    WeightResult w,
    Array ks,
    Array quantiles,
    Array vals,
    Number permutations, 
    String permutation_method,
    NUmber significance_cutoff, 
    Number seed)

Arguments

Name	Type	Description
w	WeightResult	the WeightResult object created from weights function
ks	Array	The array of integer numbers that specify quantiles for each variable
quantiles	Array	The array of integer numbers that specify which quantile is used for each variable
vals	Array	an array of numeric columns that contains the values for LISA statistics
permutations	Number	the number of permutations for the LISA computation. Default: 999.
permutation_method	String	the permutation method used for the LISA computation. Options are 'complete', 'lookup'. Default: 'lookup'.
significance_cutoff	Number	the cutoff value for significance p-values to filter not-significant clusters. Default: 0.05.
seed	Number	the seed for random number generator used in LISA statistics. Default: 123456789.

Return

Type	Description
LisaResult	The LisaResult object contains the results of LISA computation: pvalues, clusters, lisa_values, neighbors, labels, colors

Try it yourself in the playground (jsgeoda + deck.gl):