pygeoda.local_multiquantilelisa¶
- pygeoda.local_multiquantilelisa(w, data, k, q, **kwargs)[source]¶
Multivariate Quantile LISA Statistics The function to apply multivariate quantile LISA statistics
- Parameters
w (Weight) – A spatial Weights object
data (list or dataframe) – A list of numeric vectors of selected variable or a data frame of selected variables e.g. guerry[[‘Crm_prs’, ‘Literacy’]]
k (tuple) – A tuple of “k” (int) values indicate the number of quantiles for each variable
q (tuple) – A tuple of “q” (int) values indicate which quantile or interval for each variable used in local join count statistics
permutations (int, optional) – The number of permutations for the LISA computation
permutation_method (str, optional) – The permutation method used for the LISA computation. Options are {‘complete’, ‘lookup-table’}. Default is ‘complete’.
significance_cutoff (float, optional) – A cutoff value for significance p-values to filter not-significant clusters
cpu_threads (int, optional) – The number of cpu threads used for parallel LISA computation
seed (int, optional) – The seed for random number generator
- Returns
An instance of lisa class represents the results of quantile lisa
- Return type