| dist.along.grad {sharpshootR} | R Documentation |
Compute Euclidean distance along a gradient.
Description
This function computes Euclidean distance along points aligned to a given gradient (e.g. elevation).
Usage
dist.along.grad(coords, var, grad.order, grad.scaled.min, grad.scaled.max)
Arguments
coords |
a matrix of x and y coordinates in some projected coordinate system |
var |
a vector of the same length as |
grad.order |
vector of integers that define ordering of coordinates along gradient |
grad.scaled.min |
min value of rescaled gradient values |
grad.scaled.max |
max value of rescaled gradient values |
Details
This function is primarily intended for use within plotTransect.
Value
A data.frame object:
- scaled.grad
scaled gradient values
- scaled.distance
cumulative distance, scaled to the interval of
0.5, nrow(coords) + 0.5- distance
cumulative distance computed along gradient, e.g. transect distance
- variable
sorted gradient values
- x
x coordinates, ordered by gradient values
- y
y coordinate, ordered by gradient values
- grad.order
a vector index describing the sort order defined by gradient values
Note
This function is very much a work in progress, ideas welcome.
Author(s)
D.E. Beaudette