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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):