ns.predict.data.re: Prediction grid data for nearshore post-impact redistribution

In lindesaysh/MRSea: Spatially adaptive regression splines using SALSA

Prediction grid data for nearshore post-impact redistribution

Description

A simulated prediction dataset containing the true counts, the effort data and other variables of grid data. The variables are as follows:

Format

A data frame with 27798 rows and 11 variables

Details

• x.pos spatial location in the horizontal axis in UTMs

• y.pos spatial location in the vertical axis in UTMs

• area Area surveyed in the gridcell in km squared

• floodebb 3 level factor covariate for tide state

• observationhour hour of observation

• GridCode identifier for the different grids that were surveyed

• Year Year of the survey

• DavOfMonth Day of the survey

• MonthOfYear Month of the survey

• impact numerical indicator for before (0) and after (1) impact

• birds true density of birds

lindesaysh/MRSea documentation built on May 11, 2024, 11:30 p.m.