pygeoda.local_quantilelisa¶
- pygeoda.local_quantilelisa(w, data, k, q, **kwargs)[source]¶
Quantile LISA Statistics The function to apply quantile LISA statistics
- Parameters
w (Weight) – A spatial Weights object
data (tuple/list/pandas.Series) – A list of numeric values of selected variable
k (int) – The number of quantiles, range[1, n-1]
q (int) – The index of selected quantile for lisa, range[0, k-1]
undefs (list, optional) – A list of boolean values to indicate which value is undefined or null
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