dshm_finalize_segments: Preparing segments for spatial analysis

In FilippoFranchini/dshm: Density surface modelling unsing Hurdle approach for zero inflation

Description

dshm_finalize_segments calculates covariate statisitcs within each segment. It also corrects segments for land or other obstacles not relevant to the analysis.

Usage

dshm_finalize_segments(segment.data, land.data = NULL, covariates, fun,
  parallel = FALSE, ncores = NULL)

Arguments

segment.data	Segments as SpatialPolygonsDataFrame. You can use the function dshm_split_transects to create segments from transect lines.
land.data	A SptialPolygonsDataFrame such as land (for marine species) or other obstacles not relevant to predictions.
covariates	List of covariate raters.
fun	Function for covariate statistcs within each segment (i.e. mean or median).
parallel	If TRUE the function is run on multiple cores. Default is FALSE.
ncores	Number of cores if parallel is TRUE.

Details

For more information about splitting transects into segments as well as checking and correcting segments you can download the split_transects.pdf tutorial.

Value

Segments as SptialPolygonsDataFrame with following data attached:

• Transect.Label: ID for split transect.

• Sample.Label: ID for segment.

• length: segment length.

• area: segment area.

• XYZ covariates: different habitat covariates such as depth, distance to coast, etc. specific to each segment.

Author(s)

Filippo Franchini [e-mail]

FilippoFranchini/dshm documentation built on April 25, 2020, 9:40 p.m.