3.5 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
quantile_lisa()
quantile_lisa() is a PostgreSQL WINDOW function. Please call it with an OVER clause.
Synopsis
Short version:
Full version:
Arguments
Name | Type | Description |
k | integer | the number of quantiles |
q | integer | the index of which quantile is used in local join count statistics |
val | numeric | the numeric column that contains the values for LISA statistics |
weights | bytea | the bytea column that stores the spatial weights information |
permutations | integer | the number of permutations for the LISA computation. Default: 999. |
permutation_method | character varying | the permutation method used for the LISA computation. Options are 'complete', 'lookup'. Default: 'lookup'. |
significance_cutoff | float | the cutoff value for significance p-values to filter not-significant clusters. Default: 0.05. |
cpu_threads | integer | the number of CPU threads used for parallel LISA computation. Default: 6. |
seed | integer | the seed for random number generator used in LISA statistics. Default: 123456789. |
Return
Type | Description |
float[] | an array contains 3 values, which are {'local join count', 'pseudo-p value', 'number of neighbors'} |
The results of local join count do NOT have 'category indicator'.
Examples
Apply quantile lisa statistics on the variable "hr60" (homicide rate 1960), the 1st quantile of 10 quantiles, using queen contiguity weights "queen_w":
Last updated