multiscale_gwr: multiscale_gwr This function adapts the multiscale...
In mgwrsar: GWR, Mixed GWR and Multiscale GWR with Spatial Autocorrelation

multiscale_gwr

R Documentation

multiscale_gwr This function adapts the multiscale Geographically Weighted Regression (GWR) methodology proposed by Fotheringam et al. in 2017, employing a backward fitting procedure within the MGWRSAR subroutines. The consecutive bandwidth optimizations are performed by minimizing the corrected Akaike criteria.

Description

multiscale_gwr This function adapts the multiscale Geographically Weighted Regression (GWR) methodology proposed by Fotheringam et al. in 2017, employing a backward fitting procedure within the MGWRSAR subroutines. The consecutive bandwidth optimizations are performed by minimizing the corrected Akaike criteria.

Usage

multiscale_gwr(formula,data,coords,kernels='bisq',init='GWR',
maxiter=20,nstable=6,tolerance=0.000001,doMC=FALSE,ncore=1,HF=NULL,
H0=NULL,H2=NULL,Model=NULL,model=NULL,get_AICg=FALSE,verbose=FALSE,
control=list(SE=FALSE,adaptive=TRUE,NN=800,isgcv=FALSE,family=gaussian()))

Arguments

`formula`	A formula.
`data`	A dataframe.
`coords`	default NULL, a dataframe or a matrix with coordinates.
`kernels`	A vector containing the kernel types. Possible types: rectangle ("rectangle"), bisquare ("bisq"), tricube ("tcub"), epanechnikov ("epane")
`init`	starting model (lm or GWR)
`maxiter`	maximum number of iterations in the back-fitting procedure.
`nstable`	required number of consecutive unchanged optimal bandwidth (by covariate) before leaving optimisation of bandwidth size, default 3.
`tolerance`	value to terminate the back-fitting iterations (ratio of change in RMSE)
`doMC`	A boolean for Parallel computation, default FALSE.
`ncore`	number of CPU cores for parallel computation, default 1.
`HF`	if available, a vector containing the optimal bandwidth parameters for each covariate, default NULL.
`H0`	A bandwidth value for the starting GWR model, default NULL.
`H2`	A bandwidth temporal value for the starting GWR model, default NULL.
`Model`	Type of Model.
`model`	A previous model estimated using multiscale_gwr function, default NULL
`get_AICg`	Boolean, should Global AICc be estimated.
`verbose`	Boolean, verbose mode.
`control`	a list of extra control arguments, see MGWRSAR help.