Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

import.seals

Seal pup edata import


Description

Generate Spatial objects from raw seal pup survey data (not inlcuded in inlabru). Note that this function will only extract one of the survey transects.

Usage

import.seals(
  sealfile = "WestIce2012.csv",
  icefile = "reflectance_0.0025deg_grid_modis_20120328_1310.tif"
)

Arguments

sealfile

Character pointing to the file containing the seal counts and photo locations

icefile

Character pointing to the .tif file containing the ice sheet covariate

Value

The seals data set

Author(s)

Fabian E. Bachl bachlfab@gmail.com

Load seal data Turn seal data into spatial object To avoid confusion I remove the x-y coordinates created by Martin Change CRS Select a strip Add total number of seals Build a mesh. This mesh will be fine at the photo locations but coarse elsewhere Let's plot the observed counts Ice Covariate Interpolate ice covariate Add band1 covariate to seals data frame Plot seal count and ice together Create a data set


inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1
GPL (>= 2)
Authors
Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.