pearson_correlation_matrix: Calculate the Pearson correlation coefficient matrix for a...

In lifewatch/sdmpredictors: Species Distribution Modelling Predictor Datasets

Calculate the Pearson correlation coefficient matrix for a rasterstack

Description

Calculate the Pearson correlation coefficient matrix for a rasterstack

Usage

pearson_correlation_matrix(x, cachesize = 20, same_mask = FALSE)

Arguments

x	RasterStack. The stack of rasters you want to calculate the Pearson correlation coefficient matrix for. This can be obtained by calling load_layers.
cachesize	integer. For how many rasters should the values be kept in local memory. By default this is set to 20, a parameter which works reasonably well on a windows computer with 8GB RAM.
same_mask	logical. Whether we can assume that the mask is the same for all layers (same NA values), default is FALSE.

Value

A correlation matrix.

See Also

layers_correlation plot_correlation load_layers

Examples

## Not run: 
# calculate correlation between SST and salinity in the Baltic Sea

# warning using tempdir() implies that data will be downloaded again in the
# next R session
x <- load_layers(c("BO_sstmax", "BO_salinity"), datadir = tempdir())
e <- extent(13, 31, 52, 66)
baltics <- crop(x, e)
print(pearson_correlation_matrix(baltics))

## End(Not run)

lifewatch/sdmpredictors documentation built on Aug. 31, 2023, 5:59 a.m.