Multivariate Local Geary
Multivariate local geary (2019) is a multivariate extension of local geary which measures the extent to which neighbors in multiattribute space are also neighbors in geographical space. For more information, please read: https://geodacenter.github.io/workbook/6c_local_multi/lab6c.html
localMultiGeary()
Arguments
Name
Type
Description
w
WeightResult
the WeightResult object created from weights function
vals
Array
an array of the 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
Examples
Try it yourself in the playground (jsgeoda + deck.gl):
Last updated