gozh {gdverse} | R Documentation |
geographically optimal zones-based heterogeneity(GOZH) model
Description
Function for geographically optimal zones-based heterogeneity(GOZH) model
Usage
gozh(formula, data, cores = 1, type = "factor", alpha = 0.95, ...)
Arguments
formula |
A formula of GOZH model. |
data |
A data.frame, tibble or sf object of observation data. |
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 GOZH 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
Luo, P., Song, Y., Huang, X., Ma, H., Liu, J., Yao, Y., & Meng, L. (2022). Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model. ISPRS Journal of Photogrammetry and Remote Sensing: Official Publication of the International Society for Photogrammetry and Remote Sensing (ISPRS), 185, 111–128. https://doi.org/10.1016/j.isprsjprs.2022.01.009
Examples
data('ndvi')
g = gozh(NDVIchange ~ ., data = ndvi)
g