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