The package contains three grid data sets. The grid data sets (64 × 64 sampling units) feature one simulation (`grid_patchy_associated`) and two simulation derivatives (`grid_random and grid_n_ISC`) have been produced by randomization. A spatially explicit individual-based simulation model (PATPRO) was selected to produce a realistic grid community pattern `grid_patchy` and features interspecific and intraspecific spatial dependence due to simulated abiotic and biotic interactions. The `grid_random` and `grid_patchy_n_isc` data sets were produced by CSR and RS randomizations of the original simulation `grid_patchy`. The `grid_patchy_n_isc` data set only features intraspecific spatial dependence; interspecific relationships were removed by randomizations. The `grid_random` data set only features random distributions; both intra- and interspecific relationships were removed by randomizations.
Format
A data frame with 1551 species observations on the following three variables.
- X
X coordinates
- Y
Y coordinates
- Species
Species
Details
The `X` and `Y` coordinates refer to the sampling unit of the species in the sampling universe.
Examples
data("grid_patchy_n_isc", paclage = "comspat")
#> Warning: data set ‘comspat’ not found
str(grid_patchy_n_isc)
#> 'data.frame': 1551 obs. of 3 variables:
#> $ Species: Factor w/ 6 levels "Sp1","Sp2","Sp3",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ X : num 45 47 27 32 24 31 34 44 57 37 ...
#> $ Y : num 2 2 3 3 4 4 4 4 4 5 ...
barplot(
table(grid_patchy_n_isc$Species),
ylab = "Count (no.)",
space = 0.5
)
box()
