pygeoda.batch_local_moran

pygeoda.batch_local_moran(w, data, **kwargs)[source]

Apply local moran statistics on a set of variables

Parameters

  • w (Weight) – An instance of Weight class.

  • data (list/pandas.dataframe) – A list of numeric array of selected variables

  • 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 BatchLisa class represents the results of lisa computations

Return type

lisa