Local Moran
Local indicators of spatial association or LISA is a class of local statistics that measure spatial association in sub-regions of the study region. They are often used to identify spatial outliers and local clusters.
The Local Moran statistic was suggested in Anselin (1995) as a way to identify local clusters and local spatial outliers. For more details, please read http://geodacenter.github.io/workbook/6a_local_auto/lab6a.html
localMoran()
Arguments
Name | Type | Description |
w | WeightResult | the WeightResult object created from weights function |
val | Array | the values of a selected variable |
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):
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