gdm {GD}

Geographical detectors: a one-step function.

Description

A one-step function for optimal discretization and geographical detectors for multiple variables and visualization.

Usage

gdm(formula, continuous_variable = NULL, data = NULL, discmethod, discitv)
## S3 method for class 'gdm'
print(x, ...)
## S3 method for class 'gdm'
plot(x, ...)

Arguments

formula

A formula of response and explanatory variables

continuous_variable

A vector of continuous variable names

data

A data.frame includes response and explanatory variables

discmethod

A character vector of discretization methods

discitv

A numeric vector of numbers of intervals

x

A list of gdm result

...

Ignore

Examples

###############
## NDVI: ndvi_40
###############
## set optional parameters of optimal discretization
## optional methods: equal, natural, quantile, geometric, sd and manual
discmethod <- c("equal","quantile")
discitv <- c(4:5)
## "gdm" function
ndvigdm <- gdm(NDVIchange ~ Climatezone + Mining + Tempchange,
               continuous_variable = c("Tempchange"),
               data = ndvi_40,
               discmethod = discmethod, discitv = discitv)
ndvigdm
plot(ndvigdm)
## Not run: 
#############
## H1N1: h1n1_100
#############
## set optional parameters of optimal discretization
discmethod <- c("equal","natural","quantile")
discitv <- c(4:6)
continuous_variable <- colnames(h1n1_100)[-c(1,11)]
## "gdm" function
h1n1gdm <- gdm(H1N1 ~ .,
               continuous_variable = continuous_variable,
               data = h1n1_100,
               discmethod = discmethod, discitv = discitv)
h1n1gdm
plot(h1n1gdm)

## End(Not run)