gw.zi.bw | R Documentation |
This function helps choosing the optimal bandwidth for the Geographically Weighted Zero Inflated Poisson Regression (GWZIPR).
gw.zi.bw(formula, family, dframe, coords, kernel, algorithm="exhaustive",
optim.method="Nelder-Mead", b.min=NULL, b.max=NULL, step=NULL)
formula |
the local model to be fitted using the same syntax used in the zeroinfl function of the R package |
family |
a specification of the count model family to be used in the local model as in the |
dframe |
a numeric data frame of at least two suitable variables (one dependent and one independent) |
coords |
a numeric matrix or data frame of two columns giving the X,Y coordinates of the observations |
kernel |
the kernel to be used in the regression. Options are "adaptive" or "fixed". The weighting scheme used here is defined by the bi-square function |
algorithm |
a character argument that specifies whether the function will use an |
optim.method |
the optimisation method to be used. A detailed discussion is available at the 'Details' section of the function |
b.min |
the minimum bandwidth. This is important for both algorithms. In the case of the |
b.max |
the maximum bandwidth. This is important for both algorithms. In the case of the |
step |
this numeric argument is used only in the case of a |
Please carefully read the function optim(stats)
when using a heuristic
algorithm.
bw |
The optimal bandwidth (fixed or adaptive) |
CV |
The corresponding Cross Validation score for the optimal bandwidth |
CVs |
Available only in the case of the |
Large datasets increase the processing time.
Please select the optimisation algorithm carefully. This function needs further testing. Please report any bugs!
Stamatis Kalogirou <stamatis.science@gmail.com>
Kalogirou, S. (2016) Destination Choice of Athenians: an application of geographically weighted versions of standard and zero inflated Poisson spatial interaction models, Geographical Analysis, 48(2),pp. 191-230. DOI: 10.1111/gean.12092 https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12092
gwr
RDF <- random.test.data(9,9,3,"zip")
gw.zip.bw <- gw.zi.bw(dep ~ X1 + X2, "poisson", RDF, cbind(RDF$X,RDF$Y),
kernel = 'adaptive', b.min = 54, b.max=55)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.