Point density

This function calculates the point density of the input spherical points at a series of counter stations. Creates gridsize regular grid of counter stations, calculates the distance to all input points at each counter station, and then calculates the density using FUN. Each input point is weighted by the corresponding item of weights. The weights are normalized to 1 before calculation.

Usage

count_points(azi, inc, FUN, sigma, ngrid, weights, r)

Arguments

azi, inc

degree

FUN

The method of density estimation to use. Defaults to exponential_kamb().

sigma

(optional) numeric. The number of standard deviations defining the expected number of standard deviations by which a random sample from a uniform distribution of points would be expected to vary from being evenly distributed across the hemisphere. This controls the size of the counting circle, and therefore the degree of smoothing. Higher sigmas will lead to more smoothing of the resulting density distribution. This parameter only applies to Kamb-based methods. Defaults to 3.

ngrid

numeric. The size of the grid that the density is estimated on.

weights

(optional) numeric vector of length of azi. The relative weight to be applied to each input measurement. The array will be normalized to sum to 1, so absolute value of the weights do not affect the result. Defaults to NULL

r

numeric. radius of stereonet circle

Value

list