powered by
spatial association marginal contributions derived from spatial stratified heterogeneity
ssh_marginalcontri(formula, data, overlay = "and", cores = 1)
A list.
pd
power of determinants
spd
shap power of determinants
determination
determination of the optimal interaction of variables
A formula of ISP model.
A data.frame, tibble or sf object of observation data.
data.frame
tibble
sf
(optional) Spatial overlay method. One of and, or, intersection. Default is and.
and
or
intersection
(optional) Positive integer (default is 1). When cores are greater than 1, use parallel computing.
NTDs1 = sf::st_as_sf(gdverse::NTDs, coords = c('X','Y')) g = ssh_marginalcontri(incidence ~ ., data = NTDs1, cores = 1) g plot(g)
Run the code above in your browser using DataLab