Bivariate Local Join Count

Bivariate or no-colocation local join count (2019) only works when two events cannot happen in the same location (e.g., a zoning classification, or a case-control design). It can be used to identify negative spatial autocorrelation, i.e., evidence of spatial outliers. For more information, please read http://geodacenter.github.io/workbook/6a_local_auto/lab6a.html

localBiJoinCount()

function localBiJoinCount(
    WeightResult w,
    Array val1,
    Array val2,
    Number permutations, 
    String permutation_method,
    NUmber significance_cutoff, 
    Number seed)

Arguments

Name	Type	Description
w	WeightResult	the WeightResult object created from weights function
val1	Array	the first numeric variable that contains the values for LISA statistics
val1	Array	the second numeric variable 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):