geographical convergent cross mapping

Usage

gccm(
  cause,
  effect,
  data,
  libsizes,
  E = 3,
  nb = NULL,
  RowCol = NULL,
  trendRM = TRUE
)

Arguments

cause: Name of causal variable.
effect: Name of effect variable.
data: The observation data, must be sf or SpatRaster object.
libsizes: A vector of library sizes to use.
E: (optional) The dimensions of the embedding.
nb: (optional) The neighbours list.
RowCol: (optional) Matrix of selected row and cols numbers.
trendRM: (optional) Whether to remove the linear trend.

Value

A data.frame.

Examples

columbus = sf::read_sf(system.file("shapes/columbus.gpkg", package="spData")[1],
                       quiet=TRUE)
# \donttest{
gccm("HOVAL", "CRIME", data = columbus, libsizes = seq(5,45,5))
#> 
Computing: [========================================] 100% (done)                         
#> 
Computing: [========================================] 100% (done)                         
#>   lib_sizes x_xmap_y_mean x_xmap_y_sig x_xmap_y_upper x_xmap_y_lower
#> 1         5    0.08036917    0.5830396      0.3535751     -0.2054710
#> 2        10    0.11368175    0.4367132      0.3826463     -0.1730466
#> 3        15    0.08758561    0.5495572      0.3599179     -0.1984998
#> 4        20    0.10310575    0.4808160      0.3734742     -0.1834084
#> 5        25    0.11585893    0.4279229      0.3845279     -0.1709056
#> 6        30    0.12976658    0.3741739      0.3964951     -0.1571649
#> 7        35    0.14387488    0.3240014      0.4085430     -0.1431116
#> 8        40    0.15749070    0.2798141      0.4200835     -0.1294382
#> 9        45    0.19913895    0.1701347      0.4548644     -0.0869252
#>   y_xmap_x_mean y_xmap_x_sig y_xmap_x_upper y_xmap_x_lower
#> 1     0.2360232 0.1025384593      0.4850289    -0.04838467
#> 2     0.3207803 0.0246241859      0.5521699     0.04350830
#> 3     0.3509119 0.0134305363      0.5753370     0.07734760
#> 4     0.3638976 0.0101606494      0.5852114     0.09212820
#> 5     0.3814201 0.0068494208      0.5984324     0.11226434
#> 6     0.4063601 0.0037645270      0.6170483     0.14131062
#> 7     0.4355102 0.0017623390      0.6385121     0.17584874
#> 8     0.4612822 0.0008502925      0.6572289     0.20692617
#> 9     0.4838568 0.0004278528      0.6734276     0.23457638
# }