spc {cisp} | R Documentation |
spatial pattern correlation
Description
spatial pattern correlation
Usage
spc(
data,
overlay = "and",
discnum = 3:8,
minsize = 1,
strategy = 2L,
increase_rate = 0.05,
cores = 1
)
Arguments
data |
A |
overlay |
(optional) Spatial overlay method. One of |
discnum |
A numeric vector of discretized classes of columns that need to be discretized.
Default all |
minsize |
(optional) The min size of each discretization group. Default all use |
strategy |
(optional) Optimal discretization strategy. When |
increase_rate |
(optional) The critical increase rate of the number of discretization. Default is |
cores |
(optional) Positive integer (default is 1). When cores are greater than 1, use multi-core parallel computing. |
Value
A list.
correlation_tbl
A tibble with power of spatial pattern correlation
correlation_mat
A matrix with power of spatial pattern correlation
Examples
## Not run:
## The following code needs to configure the Python environment to run:
sim1 = sf::st_as_sf(gdverse::sim,coords = c('lo','la'))
g = spc(sim1, discnum = 3:6, cores = 1)
g
## End(Not run)