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  • multiQuantileLisa()
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  1. Multivariate Local Spatial Autocorrelation

Multivariate Quantile LISA

PreviousMultivariate Local Join CountNextSKATER

Last updated 3 years ago

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Multivariate Quantile LISA () 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

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):

2019
https://geodacenter.github.io/workbook/6d_local_discrete/lab6d.html#quantile-lisa