make_hsc: Continuous Habitat Suitability Function Generator
In mkoohafkan/rremat: Russian River Estuary data collected by the Largier Lab

Description Usage Arguments Details Value Examples

Generate a continuous habitat suitability function given parameter values and scores.

1 2	make_hsc(value, score, scoreleft = 0, scoreright = 0, spline.expand = 1L, ...)

`value`	Vector of parameter values, or a dataframe containing parameters values in the first column and scores in the second column. `value` must be in ascending order.
`score`	Vector of scores assigned to parameter values specified in `values`.
`scoreleft`	the value to be returned when input values are less than `min(value)`.
`scoreright`	the value to be returned when input values are greater than `max(value)`.
`spline.expand`	Add curvature to the habitat suitability curve by expanding the resolution of `(value, score)` and fitting a spline using `spline()`. If `spline.expand = 1`, the habitat suitability curve is generated as a linear interpolation between `(value, score)` pairs. For integer values of `spline.expand > 1`, the lengths of `value` and `score` are increased to `spline.expand*length(value)`.
`...`	Additional arguments passed to `spline()`.

When spline.expand > 1, an interpolating spline is first fit to the data. In order to ensure that no scores exceed the maximum score included in score, two separate splines are fit to data below and above the maximum value of score. The interpolated data are then approximated again using a linear interpolation to enforce the extrapolation rules specified by scoreleft and scoreright.

A function representing the habitat suitability curve

make_hsc(c(5, 10, 15, 20, 25), c(0, 0.7, 1, 0.75, 0), spline.expand = 1)
make_hsc(c(5, 10, 15, 20, 25), c(0, 0.7, 1, 0.75, 0), spline.expand = 100)

make_hsc(c(5, 10, 15), c(0, 0.7, 1), scoreright = 1, spline.expand = 1)
make_hsc(c(5, 10, 15), c(0, 0.7, 1), scoreright = 1, spline.expand = 100)