srsgd {gdverse} | R Documentation |
Function for spatial rough set-based geographical detector model.
srsgd(formula, data, wt = NULL, type = "factor", alpha = 0.95)
formula |
A formula of spatial rough set-based geographical detector model. |
data |
A data.frame, tibble or sf object of observation data. |
wt |
Spatial adjacency matrix. If |
type |
(optional) The type of geographical detector, which must be one of
|
alpha |
(optional) Specifies the size of the alpha (confidence level). Default is |
A list of tibble with the corresponding result under different detector types.
factor
the result of spatial rough set-based factor detector
interaction
the result of spatial rough set-based interaction detector
ecological
the result of spatial rough set-based ecological detector
The Spatial Rough Set-based Geographical Detector Model (SRSGD) conducts spatial
hierarchical heterogeneity analysis utilizing a geographical detector for data
where the dependent variable is discrete. Given the complementary relationship
between SRSGD and the native version of geographical detector, I strive to maintain
consistency with gd()
function when establishing srsgd()
function. This implies
that all input variable data in srsgd must be discretized prior to use.
Wenbo Lv lyu.geosocial@gmail.com
Bai, H., Li, D., Ge, Y., Wang, J., & Cao, F. (2022). Spatial rough set-based geographical detectors for nominal target variables. Information Sciences, 586, 525–539. https://doi.org/10.1016/j.ins.2021.12.019
data('srs_table')
data('srs_wt')
srsgd(d ~ a1 + a2 + a3, data = srs_table, wt = srs_wt)
srsgd(d ~ a1 + a2 + a3, data = srs_table,
wt = srs_wt, type = 'interaction')
srsgd(d ~ a1 + a2 + a3, data = srs_table,
wt = srs_wt, type = 'ecological')