Quantile LISA
Last updated
Last updated
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
Try it yourself in the playground (jsgeoda + deck.gl):
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