sample_qtls

Generate random draws from a set of quantiles, based on the empirical
cumulative density function

Collision Risk Models for avian fauna (seabird and migratory birds) at
offshore wind farms. The base deterministic model is derived from
Band (2012) <https://tethys.pnnl.gov/publications/using-collision-risk-model-assess-bird-collision-risks-offshore-wind-farms>.
This was further expanded on by Masden (2015) <doi:10.7489/1659-1> and code
used here is heavily derived from this work with input from Dr A. Cook at the
British Trust for Ornithology. These collision risk models are useful for
marine ornithologists who are working in the offshore wind industry, particularly
in UK waters. However, many of the species included in the stochastic collision
risk models can also be found in the North Atlantic in the
United States and Canada, and could be applied there.

Grant Humphries

stochLAB

Stochastic Collision Risk Model

sample_qtls function

<dl><dt>n</dt>
<dd>integer, the number of draws to generate</dd>
<dt>probs</dt>
<dd>numeric vector, the probabilities</dd>
<dt>qtls</dt>
<dd>numeric vector, the quantiles for the probabilities
specified in <code>probs</code></dd></dl>

Arguments

Generate random draws based on empirical c.d.f. — sample_qtls

<dl>

<dt>n</dt>
<dd>integer, the number of draws to generate</dd>


<dt>probs</dt>
<dd>numeric vector, the probabilities</dd>


<dt>qtls</dt>
<dd>numeric vector, the quantiles for the probabilities
specified in <code>probs</code></dd>

</dl>

sample_qtls: Generate random draws based on empirical c.d.f.

Description

Usage

Value

Arguments

Details

Examples