Stochastic Collision Risk Model
Collision risk model, for a single species and one turbine scenario
Number of collisions under model option 1
Number of collisions under model option 2
Number of collisions under model Option 3
Number of collisions under model Option 4
Total day and night hours per month
Format any month name to three letter code
Geometric attributes at equidistant points within the rotor's unit cir...
Average single transit collision risk with no avoidance
Get expected collisions based on the basic model
Number of collisions based on the extended model
Returns the proportion of birds at height bands along the rotor
Flux factor
Large array correction factor
Migration Flux factor
Grid of probabilities of single transit collision at points in rotor c...
Grid with angles between points and the rotor's vertical axis
Calculate the total proportion of bird flights at collision risk based...
Single transit collision risk along the chord of the rotor at height b...
Grid of horizontal distances from points in the rotor circle to its ve...
Grid of vertical distances from points in the rotor circle to its hori...
Stochastic migration collision risk model
Pipe operator
Customised sampling functions for the Beta distributions
Customised sampling of Truncated Normal distribution
Parameter sampling whiz
Generate random draws based on empirical c.d.f.
Sampling function for a single turbine in the mCRM
Customised sampling function wrapper
Generate sequence of months
Stochastic collision risk model for a single species and one wind farm...
stochLAB: Stochastic Collision Risk Model
Input validator
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.
Useful links