esda.Spatial_Pearson

class esda.Spatial_Pearson(connectivity=None, permutations=999)[source]

Global Spatial Pearson Statistic

__init__(self, connectivity=None, permutations=999)[source]

Initialize a spatial pearson estimator

Attributes
association_: numpy.ndarray (2,2)

array containg the estimated Lee spatial pearson correlation coefficients, where element [0,1] is the spatial correlation coefficient, and elements [0,0] and [1,1] are the “spatial smoothing factor”

reference_distribution_: numpy.ndarray (n_permutations, 2,2)

distribution of correlation matrices for randomly-shuffled maps.

significance_: numpy.ndarray (2,2)

permutation-based p-values for the fraction of times the observed correlation was more extreme than the simulated correlations.

Methods

__init__(self[, connectivity, permutations])

Initialize a spatial pearson estimator

fit(self, x, y)

bivariate spatial pearson’s R based on Eq.

get_params(self[, deep])

Get parameters for this estimator.

set_params(self, \*\*params)

Set the parameters of this estimator.