multiscale_gwr: multiscale_gwr to be documented (experimental)

In mgwrsar: GWR and MGWR with Spatial Autocorrelation

multiscale_gwr to be documented (experimental)

Description

multiscale_gwr to be documented (experimental)

Usage

multiscale_gwr(formula, data,coord, fixed_vars=NULL,Model=c('GWR'),
kernels=c('bisq'),maxiter=10,control=list(),fd=c(0.6,0.9,0.99,1,1.01,1.1,1.4),
H=NULL,BETA=NULL,grad=FALSE,nstable=3,nfull=2,init='GWR')

Arguments

formula	a formula.
data	a dataframe or a spatial dataframe (sp package).
coord	default NULL, a dataframe or a matrix with coordinates, not required if data is a spatial dataframe.
fixed_vars	a vector with the names of spatiallay constant coefficient for mixed model. All other variables present in formula are supposed to be spatially varying. If empty or NULL (default), all variables in formula are supposed to be spatially varying.
Model	character containing the type of model: Possible values are "OLS", "SAR", "GWR" (default), "MGWR" , "MGWRSAR_0_0_kv","MGWRSAR_1_0_kv", "MGWRSAR_0_kc_kv", "MGWRSAR_1_kc_kv", "MGWRSAR_1_kc_0". See Details for more explanation.
kernels	A vector containing the kernel types. Possible types: rectangle ("rectangle"), bisquare ("bisq"), tricube ("tcub"), epanechnikov ("epane"), gaussian ("gauss")) .
maxiter	maximum number of backfiting iteration
control	list of extra control arguments for MGWRSAR wrapper - see Details below
fd	to be documented (experimental)
H	vector containing the bandwidth parameters for each covariate.
BETA	to be documented (experimental)
grad	to be documented (experimental)
nstable	to be documented (experimental)
nfull	to be documented (experimental)
init	to be documented (experimental)

mgwrsar documentation built on April 17, 2023, 9:09 a.m.