prepare_soap: Prepare soap for dsm modelling

In MathieuGenu/geffaeR: Generic Function for Abundance Estimation with R

Prepare soap for dsm modelling

Description

Create necessary output for dsm modelling using soap smoother.

Usage

prepare_soap(
  data,
  contour = NULL,
  polygon_pred = NULL,
  ratio_simplify = 1e-04,
  N = 23
)

Arguments

data	data.frame containing at least 3 columns. Among those columns it must have longitude and latitude.
contour	Land contour of the study area where the soap will be implemented (optionnal). Must be a Spatial or sf object containing polygons defining land contour (default is NULL).
polygon_pred	Polygon defining the area where the soap will be implemented. Either a Spatial or sf object containing polygon.
ratio_simplify	Correspond to the 'keep' argument of ms_simplify (default 1e-4).
N	Number of knots per row and column (default 23).

Value

1. sf_cropped_NEA : data.frame (given if polygon_pred is NULL).

2. bnd : list of list delimiting soap area. Compatible with gam.

3. knots : data.frame containing longitude and latitude of konts.

4. df_cropped_data : data.frame corresponding to data without the points outside of bnd.

5. gg_cropped_data : gg object that synthetised information on the soap process which has been made.

6. sf_ocean : sf object containging the contour of the study area where knots are placed.

References

This function uses autocruncher, a function created by Simon Wood and improved by David L. Miller (https://github.com/dill/soap_checker/blob/master/autocrunch.R).

MathieuGenu/geffaeR documentation built on March 23, 2022, 7:50 p.m.