Specify a spatial explicit offset as biasSource:
Including offsets is another option to integrate spatial prior information in linear and additive regression models. Offsets shift the intercept of the regression fit by a certain amount. Although only one offset can be added to a regression model, it is possible to combine several spatial-explicit estimates into one offset by calculating the sum of all spatial-explicit layers.
add_offset_bias(x, layer, add = TRUE, points = NULL) # S4 method for BiodiversityDistribution,SpatRaster,logical,ANY add_offset_bias(x,layer,add,points)
SpatRasterobject with the range for the target feature.
logicalspecifying whether new offset is to be added. Setting this parameter to
FALSEreplaces the current offsets with the new one (Default:
sfobject with key points. The location of the points are then used to calculate the probability that a cell has been sampled while accounting for area differences. (Default:
Adds a bias offset to a
This functions emulates the use of the
however applies an inverse transformation to remove the provided layer from
the overall offset. So if for instance a offset is already specified (such as
area), this function removes the provided
bias.layer from it via
Note that any transformation of the offset (such as
log) has do be done externally!
If a generic offset is added, consider using the
If the layer is a expert-based range and requires additional parametrization,
consider using the function
add_offset_range() or the
Merow, C., Allen, J.M., Aiello-Lammens, M., Silander, J.A., 2016. Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information. Glob. Ecol. Biogeogr. 25, 1022–1036. https://doi.org/10.1111/geb.12453