opgd {gdverse} | R Documentation |
optimal parameters-based geographical detector(OPGD) model
Description
Function for optimal parameters-based geographical detector(OPGD) model.
Usage
opgd(
formula,
data,
discvar,
discnum = 3:22,
discmethod = c("sd", "equal", "pretty", "quantile", "fisher", "headtails", "maximum",
"box"),
cores = 1,
type = "factor",
alpha = 0.95,
...
)
Arguments
formula |
A formula of OPGD model. |
data |
A data.frame, tibble or sf object of observation data. |
discvar |
Name of continuous variable columns that need to be discretized.Noted that
when |
discnum |
(optional) A vector of number of classes for discretization. Default is |
discmethod |
(optional) A vector of methods for discretization, default is using
|
cores |
(optional) A positive integer(default is 1). If cores > 1, a 'parallel' package cluster with that many cores is created and used. You can also supply a cluster object. |
type |
(optional) The type of geographical detector,which must be |
alpha |
(optional) Specifies the size of confidence level.Default is |
... |
(optional) Other arguments passed to |
Value
A list of the OPGD model result.
factor
the result of factor detector
interaction
the result of interaction detector
risk
the result of risk detector
ecological
the result of ecological detector
Author(s)
Wenbo Lv lyu.geosocial@gmail.com
References
Song, Y., Wang, J., Ge, Y. & Xu, C. (2020) An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data, GIScience & Remote Sensing, 57(5), 593-610. doi: 10.1080/15481603.2020.1760434.
Examples
data('sim')
opgd(y ~ xa + xb + xc, data = sim,
discvar = paste0('x',letters[1:3]),
discnum = 3:6)