esda.LOSH

class esda.LOSH(connectivity=None, inference=None)

Local spatial heteroscedasticity (LOSH)

__init__(connectivity=None, inference=None)

Initialize a losh estimator

Parameters:

connectivityscipy.sparse matrix object

the connectivity structure describing the relationships between observed units.

inferencepython:str

describes type of inference to be used. options are “chi-square” or “permutation” methods.

Attributes:

Hinumpy array

Array of LOSH values for each spatial unit.

ylagnumpy array

Spatially lagged y values.

yresidnumpy array

Spatially lagged residual values.

VarHinumpy array

Variance of Hi.

pvalnumpy array

P-values for inference based on either “chi-square” or “permutation” methods.

Methods

__init__([connectivity, inference])	Initialize a losh estimator
fit(y[, a])	Parameters:
get_params([deep])	Get parameters for this estimator.
set_params(**params)	Set the parameters of this estimator.