Marine Renewables Strategic Environmental Assessment (MRSea)

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The MRSea R package allows the fitting of spatially adaptive regression splines using spatially adaptive local smoothing algorithms (SALSA).

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It was developed to examine animal survey data for signs of changes in animal abundance and distribution following marine renewables development. However the methods are suitable for a wide range of applications.

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The functions of this package can be used to analyse segmented line transect (alongside the mrds R package) or digital aerial data. The package includes functions for fitting spatially adaptive one and 2D smoothers using SALSA and CReSS. B, natural and cyclic splines are available for 1D variables. Euclidean or Geodesic distances can be used to underpin the smoothed 2D surface and a choice of Gaussian or exponential radial basis functions are available. Non-parametric bootstrapping is available to estimate uncertainty. Several model assessment tools are also available. For models with residual correlation, direct estimation of robust standard errors, given a panel structure, is available.

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The package can be installed directly from my github repository:

> # install.packages("devtools")

> devtools::install_github("lindesaysh/MRSea", ref="stable"))

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