Quantile LISA
Quantile LISA (2019) is quantile local spatial autocorrelation that applies local join count statistics to quantiles of a continuous variable by converting the continuous variable 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 quantileLisa(
WeightResult w,
Number k,
Number quantile,
Array val,
Number permutations,
String permutation_method,
NUmber significance_cutoff,
Number seed)
Name | Type | Description |
w | WeightResult | the WeightResult object created from weights function |
k | Number | the total number of quantiles |
quantile | Number | the index of which quantile is used in local join count statistics |
val | Array | the numeric column that contains the binary values (e.g. 0 and 1) 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):